CN111554382A - Medical image processing method and device, electronic equipment and storage medium - Google Patents

Medical image processing method and device, electronic equipment and storage medium Download PDF

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CN111554382A
CN111554382A CN202010366216.5A CN202010366216A CN111554382A CN 111554382 A CN111554382 A CN 111554382A CN 202010366216 A CN202010366216 A CN 202010366216A CN 111554382 A CN111554382 A CN 111554382A
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medical image
annotation
requested
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data corresponding
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CN111554382B (en
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金香翠
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Shanghai Sensetime Intelligent Technology Co Ltd
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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00—ICT specially adapted for the handling or processing of medical images
    • G16H30/20—ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/51—Indexing; Data structures therefor; Storage structures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/5866—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, manually generated location and time information

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Abstract

The disclosure relates to a medical image processing method and apparatus, an electronic device, and a storage medium. The method comprises the following steps: receiving annotation data corresponding to a medical image from an annotator terminal, and storing the annotation data corresponding to the medical image in a database, wherein the annotation data corresponding to the medical image is obtained by the annotator terminal by annotating the medical image; receiving a film reader request from a film reader terminal, wherein the film reader request comprises identification information of a medical image requested to be referred by the film reader terminal; and under the condition that the annotation data corresponding to the medical image requested to be referred exists according to the identification information of the medical image requested to be referred, acquiring the annotation data corresponding to the medical image requested to be referred from the database, and sending the medical image requested to be referred and the annotation data corresponding to the medical image requested to be referred to the reader terminal.

Description

Medical image processing method and device, electronic equipment and storage medium
Technical Field
The present disclosure relates to the field of image processing technologies, and in particular, to a method and an apparatus for processing a medical image, an electronic device, and a storage medium.
Background
In the related art, the marking system and the reading system of the medical image are often two independent systems due to different purposes. After a annotator annotates a medical image in an annotation system, if annotation data needs to be used in a film reading system, the annotation data needs to be manually exported from the annotation system and then imported into the film reading system, so that the work is complicated, and errors are easy to occur.
Disclosure of Invention
The present disclosure provides a medical image processing technical solution.
According to an aspect of the present disclosure, there is provided a medical image processing method, applied to a server, the method including:
receiving annotation data corresponding to a medical image from an annotator terminal, and storing the annotation data corresponding to the medical image in a database, wherein the annotation data corresponding to the medical image is obtained by the annotator terminal by annotating the medical image;
receiving a film reader request from a film reader terminal, wherein the film reader request comprises identification information of a medical image requested to be referred by the film reader terminal;
and under the condition that the annotation data corresponding to the medical image requested to be referred exists according to the identification information of the medical image requested to be referred, acquiring the annotation data corresponding to the medical image requested to be referred from the database, and sending the medical image requested to be referred and the annotation data corresponding to the medical image requested to be referred to the reader terminal.
The embodiment of the disclosure can realize an independent film reading system, an independent marking system and a fusion system of film reading and marking. In the embodiment of the disclosure, the annotation system and the film reading system share one set of database to store the annotation data corresponding to the medical image, so that the sharing of the annotation data corresponding to the medical image is realized between the annotation system and the film reading system, and the annotation data corresponding to the medical image is not required to be exported from the annotation system and then imported into the film reading system, thereby reducing the workload, saving the time, reducing the error rate and improving the intelligence.
In a possible implementation manner, the medical image is stored in the database, and the annotation data corresponding to the medical image is obtained by the annotator terminal acquiring the medical image from the database and annotating the medical image;
after the receiving of the radiograph interpretation request from the radiographer terminal, before the sending of the medical image requested to be referred to and the annotation data corresponding to the medical image requested to be referred to the radiographer terminal, the method further includes:
and acquiring the medical image requested to be referred from the database according to the identification information of the medical image requested to be referred.
In the implementation mode, the marking system and the film reading system share one set of database to store the medical images, so that the medical images are shared between the marking system and the film reading system, and the same medical image does not need to be uploaded in the marking system and the film reading system respectively, so that the repeated work can be reduced, the time is saved, and the intellectualization is improved.
In one possible implementation, the method further includes:
receiving an annotation request from the annotator terminal, wherein the annotation request comprises identification information of the medical image which is requested to be annotated by the annotator terminal;
acquiring auditing state information of annotation data corresponding to the medical image requiring annotation according to the identification information of the medical image requiring annotation;
responding to the audit state information that the audit state information is not audited, and sending the annotation task of the medical image requesting for annotation to the annotator terminal; and/or, in response to the audit state information being that the audit is performed, sending first prompt information to the annotator terminal, wherein the first prompt information is used for prompting that the annotation data of the medical image requesting for annotation is completely audited by the auditor; and/or sending second prompt information to the annotator terminal in response to the audit state information being audited, wherein the second prompt information is used for prompting that the annotation data of the medical image requesting annotation is being audited by the auditor.
In the implementation mode, by adding the auditing state information, the problem of conflict between the labeling process and the auditing process can be solved, so that the probability of data errors caused by the conflict between the labeling process and the auditing process can be reduced.
In a possible implementation manner, the sending, to the annotator terminal, an annotation task of the medical image requesting for annotation in response to the audit status information being that the medical image is not audited includes:
and in response to the fact that the audit state information is not audited, generating an annotation task of the medical image requesting for annotation according to an automatic annotation result corresponding to the medical image requesting for annotation, and sending the annotation task to the annotator terminal, wherein the automatic annotation result corresponding to the medical image requesting for annotation is obtained by automatically annotating the medical image requesting for annotation by at least one pre-trained annotation network.
The automatic labeling result obtained by the automatic labeling of the labeling network assists the labeling person to label, so that the labeling efficiency and the accuracy of the labeling data can be improved.
In one possible implementation, the method further includes:
receiving an audit request from an auditor terminal, wherein the audit request comprises identification information of a medical image which is requested to be audited by the auditor terminal;
acquiring the labeling state information of the medical image requiring examination according to the identification information of the medical image requiring examination;
responding to the marked and non-marked state information, and sending an auditing task of marked data corresponding to the medical image requiring auditing to the auditor terminal; and/or sending third prompt information to the auditor terminal in response to the annotation state information being in the annotation, wherein the third prompt information is used for prompting that the medical image requiring the audit is being annotated by the annotator; and/or sending fourth prompt information to the auditor terminal in response to the fact that the labeled state information is not labeled, wherein the fourth prompt information is used for prompting that the medical image which is requested to be audited is not labeled by the annotator.
In the implementation mode, the problem of conflict between the auditing process and the labeling process is solved by adding the labeling state information, so that the probability of data errors caused by the conflict between the labeling process and the auditing process can be reduced.
In a possible implementation manner, the sending, to the reviewer terminal, an audit task of the annotation data corresponding to the medical image requested to be audited in response to the annotation state information being annotated and not annotated includes:
and in response to the fact that the annotation state information is labeled and not labeled, generating an auditing task of the labeled data corresponding to the medical image requiring auditing according to the automatic labeling result corresponding to the medical image requiring auditing, and sending the auditing task to the auditor terminal, wherein the automatic labeling result corresponding to the medical image requiring auditing is obtained by automatically labeling the medical image requiring auditing by at least one pre-trained labeling network.
The automatic labeling result obtained by the automatic labeling of the labeling network assists the auditor to audit, so that the auditing efficiency and the accuracy of the labeled data after auditing can be improved.
In a possible implementation manner, the obtaining, from the database, annotation data corresponding to the medical image requested to be referred to includes:
acquiring the checked annotation data corresponding to the medical image requested to be checked from the database under the condition that the annotation data corresponding to the medical image requested to be checked is checked;
and/or the presence of a gas in the gas,
and acquiring the annotation data with the latest annotation time corresponding to the medical image requested to be consulted from the database under the condition that the annotation data corresponding to the medical image requested to be consulted is annotated and is not audited.
According to the implementation mode, the annotation data with the highest annotation quality corresponding to the medical image requested to be referred can be sent to the reader terminal.
In a possible implementation manner, in a case that the annotation data corresponding to the medical image requested to be referred to is annotated and not reviewed, the obtaining, from the database, annotation data corresponding to the medical image requested to be referred to with the latest annotation time includes:
under the condition that the annotation data corresponding to the medical image requested to be consulted is annotated by an annotator and is not audited, obtaining the annotation data which is annotated by the annotator and has the latest annotation time and corresponds to the medical image requested to be consulted from the database;
and/or the presence of a gas in the gas,
and under the condition that the annotation data corresponding to the medical image requested to be referred are not annotated by an annotator, are automatically annotated and are not audited, acquiring an automatic annotation result corresponding to the medical image requested to be referred from the database, wherein the automatic annotation result corresponding to the medical image requested to be referred is obtained by automatically annotating the medical image requested to be referred by at least one pre-trained annotation network.
According to the implementation mode, the annotation data with the highest annotation quality can be sent to the terminal of the reader, and even if the medical image is not annotated by the annotator, the automatic annotation result obtained by the automatic annotation of the annotation network can be provided for the terminal of the reader.
In one possible implementation, the method further includes:
receiving a task distribution request from an administrator terminal, wherein the task distribution request comprises identification information of a medical image to be processed, identification information of a marker corresponding to the medical image to be processed and identification information of an auditor corresponding to the medical image to be processed;
sending the annotation task of the medical image to be processed to the account of the annotator corresponding to the medical image to be processed according to the identification information of the medical image to be processed and the identification information of the annotator corresponding to the medical image to be processed;
after the receiving of the annotation data corresponding to the medical image from the annotator terminal, the method further comprises:
and sending an auditing task of the annotation data corresponding to the medical image to be processed to an account of the auditor corresponding to the medical image according to the identification information of the auditor corresponding to the medical image.
According to the implementation mode, the administrator can conveniently distribute the labeling tasks and the auditing tasks, the annotator can clearly determine the labeling tasks in charge of the annotator, and the auditor can timely receive the auditing tasks needing to be processed by the auditor.
In one possible implementation, the method further includes:
receiving an account role setting request from an administrator terminal, wherein the account role setting request comprises identification information of an account requested to be set and role information corresponding to the account requested to be set, and the role information corresponding to the account requested to be set comprises at least one of a annotator, an auditor, a reader and an administrator;
and setting the role of the account requested to be set according to the identification information of the account requested to be set and the role information corresponding to the account requested to be set.
According to the implementation mode, the same account can have a plurality of roles, so that the problems that the same user needs to register a plurality of accounts for processing different types of work (such as reading and marking) and needs to switch account use can be solved. In addition, according to the implementation mode, the ordinary users (annotators, auditors and film readers) can clearly identify the roles of the users, and the problem that the user roles are not clearly divided can be solved.
According to an aspect of the present disclosure, there is provided a medical image processing method applied to a annotator terminal, the method including:
responding to an annotation starting operation, and generating an annotation request, wherein the annotation request comprises identification information of a medical image which is requested to be annotated by the annotator terminal;
sending the marking request to a server;
receiving an annotation task of the medical image requested to be annotated, which is returned by the server end in response to the fact that the audit state information of the annotation data corresponding to the medical image requested to be annotated is not audited; and/or receiving first prompt information returned by the server end in response to the fact that the audit state information is audited, wherein the first prompt information is used for prompting that the annotation data of the medical image requesting for annotation is audited by an auditor; and/or receiving second prompt information returned by the server in response to the fact that the audit state information is audit, wherein the second prompt information is used for prompting that the annotation data of the medical image requesting annotation is being audited by an auditor.
By adding the auditing state information, the problem of conflict between the labeling process and the auditing process can be solved, and the probability of data errors caused by the conflict between the labeling process and the auditing process can be reduced.
In a possible implementation manner, after the sending the annotation request to the server, the method further includes:
and receiving an automatic annotation result corresponding to the medical image requested to be annotated, which is returned by the server in response to the fact that the audit state information of the annotation data corresponding to the medical image requested to be annotated is not audited, wherein the automatic annotation result corresponding to the medical image requested to be annotated is obtained by automatically annotating the medical image requested to be annotated by at least one pre-trained annotation network.
The automatic labeling result obtained by the automatic labeling of the labeling network assists the labeling person to label, so that the labeling efficiency and the accuracy of the labeling data can be improved.
According to an aspect of the present disclosure, there is provided a medical image processing method applied to a reviewer terminal, the method including:
responding to the auditing starting operation, and generating an auditing request, wherein the auditing request comprises identification information of the medical image which is requested to be audited by the auditor terminal;
sending the audit request to a server;
receiving an auditing task of the server side responding to the annotation state information of the medical image requiring auditing, wherein the auditing task is returned by the server side when the annotation state information of the medical image requiring auditing is annotated and is not annotated; and/or receiving third prompt information returned by the server end in response to the fact that the annotation state information is in the annotation, wherein the third prompt information is used for prompting that the medical image requiring the examination is being annotated by the annotator; and/or receiving fourth prompt information returned by the server in response to the fact that the annotation state information is not annotated, wherein the fourth prompt information is used for prompting that the medical image which is requested to be audited is not annotated by the annotator.
By adding the labeling state information, the problem of conflict between the auditing process and the labeling process is solved, so that the probability of data errors caused by the conflict between the labeling process and the auditing process can be reduced.
According to an aspect of the present disclosure, there is provided a medical image processing method applied to a terminal of a reader, the method including:
responding to a film reading operation, and generating a film reading request, wherein the film reading request comprises identification information of a medical image requested to be referred by the film reader terminal;
sending the film reading request to a server;
receiving the medical image which is returned by the server end in response to the film reading request and is requested to be consulted;
receiving the returned label data corresponding to the medical image requested to be referred, which is obtained after the label data corresponding to the medical image requested to be referred is audited and responded by the server; and/or receiving the annotation data which is returned by the server and corresponds to the medical image requested to be consulted and has the latest annotation time in response to the fact that the annotation data corresponding to the medical image requested to be consulted is annotated and is not audited.
According to the embodiment of the disclosure, the reader terminal can obtain the annotation data with the highest annotation quality corresponding to the medical image requested to be referred.
According to an aspect of the present disclosure, there is provided a medical image processing apparatus, applied to a server, the apparatus including:
the storage module is used for receiving annotation data corresponding to the medical image from an annotator terminal and storing the annotation data corresponding to the medical image in a database, wherein the annotation data corresponding to the medical image is obtained by annotating the medical image by the annotator terminal;
the system comprises a first receiving module, a second receiving module and a judging module, wherein the first receiving module is used for receiving a film reading request from a film reader terminal, and the film reading request comprises identification information of a medical image which is requested to be referred by the film reader terminal;
the first obtaining module is used for obtaining the annotation data corresponding to the medical image requested to be referred from the database under the condition that the annotation data corresponding to the medical image requested to be referred exists according to the identification information of the medical image requested to be referred, and sending the medical image requested to be referred and the annotation data corresponding to the medical image requested to be referred to the reader terminal.
In a possible implementation manner, the medical image is stored in the database, and the annotation data corresponding to the medical image is obtained by the annotator terminal acquiring the medical image from the database and annotating the medical image;
the device further comprises:
and the second acquisition module is used for acquiring the medical image requested to be referred from the database according to the identification information of the medical image requested to be referred.
In one possible implementation, the apparatus further includes:
a sixth receiving module, configured to receive an annotation request from the annotator terminal, where the annotation request includes identification information of a medical image for which the annotator terminal requests annotation;
a third obtaining module, configured to obtain, according to the identification information of the medical image requested to be annotated, audit state information of annotation data corresponding to the medical image requested to be annotated;
a fourth sending module, configured to send, in response to that the audit state information is not audit, an annotation task of the medical image requesting for annotation to the annotator terminal; and/or, in response to the audit state information being that the audit is performed, sending first prompt information to the annotator terminal, wherein the first prompt information is used for prompting that the annotation data of the medical image requesting for annotation is completely audited by the auditor; and/or sending second prompt information to the annotator terminal in response to the audit state information being audited, wherein the second prompt information is used for prompting that the annotation data of the medical image requesting annotation is being audited by the auditor.
In a possible implementation manner, the fourth sending module is configured to:
and in response to the fact that the audit state information is not audited, generating an annotation task of the medical image requesting for annotation according to an automatic annotation result corresponding to the medical image requesting for annotation, and sending the annotation task to the annotator terminal, wherein the automatic annotation result corresponding to the medical image requesting for annotation is obtained by automatically annotating the medical image requesting for annotation by at least one pre-trained annotation network.
In one possible implementation, the apparatus further includes:
a seventh receiving module, configured to receive an audit request from an auditor terminal, where the audit request includes identification information of a medical image requested to be audited by the auditor terminal;
the fourth obtaining module is used for obtaining the labeling state information of the medical image which is requested to be audited according to the identification information of the medical image which is requested to be audited;
a fifth sending module, configured to send, to the reviewer terminal, an audit task of the annotation data corresponding to the medical image that is requested to be audited in response to that the annotation status information is in an annotated and non-annotated state; and/or sending third prompt information to the auditor terminal in response to the annotation state information being in the annotation, wherein the third prompt information is used for prompting that the medical image requiring the audit is being annotated by the annotator; and/or sending fourth prompt information to the auditor terminal in response to the fact that the labeled state information is not labeled, wherein the fourth prompt information is used for prompting that the medical image which is requested to be audited is not labeled by the annotator.
In a possible implementation manner, the fifth sending module is configured to:
and in response to the fact that the annotation state information is labeled and not labeled, generating an auditing task of the labeled data corresponding to the medical image requiring auditing according to the automatic labeling result corresponding to the medical image requiring auditing, and sending the auditing task to the auditor terminal, wherein the automatic labeling result corresponding to the medical image requiring auditing is obtained by automatically labeling the medical image requiring auditing by at least one pre-trained labeling network.
In one possible implementation manner, the first obtaining module is configured to:
acquiring the checked annotation data corresponding to the medical image requested to be checked from the database under the condition that the annotation data corresponding to the medical image requested to be checked is checked;
and/or the presence of a gas in the gas,
and acquiring the annotation data with the latest annotation time corresponding to the medical image requested to be consulted from the database under the condition that the annotation data corresponding to the medical image requested to be consulted is annotated and is not audited.
In one possible implementation manner, the first obtaining module is configured to:
under the condition that the annotation data corresponding to the medical image requested to be consulted is annotated by an annotator and is not audited, obtaining the annotation data which is annotated by the annotator and has the latest annotation time and corresponds to the medical image requested to be consulted from the database;
and/or the presence of a gas in the gas,
and under the condition that the annotation data corresponding to the medical image requested to be referred are not annotated by an annotator, are automatically annotated and are not audited, acquiring an automatic annotation result corresponding to the medical image requested to be referred from the database, wherein the automatic annotation result corresponding to the medical image requested to be referred is obtained by automatically annotating the medical image requested to be referred by at least one pre-trained annotation network.
In one possible implementation, the apparatus further includes:
an eighth receiving module, configured to receive a task distribution request from an administrator terminal, where the task distribution request includes identification information of a medical image to be processed, identification information of a annotator corresponding to the medical image to be processed, and identification information of a reviewer corresponding to the medical image to be processed;
a sixth sending module, configured to send, according to the identification information of the medical image to be processed and the identification information of the annotator corresponding to the medical image to be processed, an annotation task of the medical image to be processed to an account of the annotator corresponding to the medical image to be processed;
and the seventh sending module is used for sending the auditing task of the annotation data corresponding to the medical image to be processed to the account of the auditor corresponding to the medical image according to the identification information of the auditor corresponding to the medical image.
In one possible implementation, the apparatus further includes:
a ninth receiving module, configured to receive an account role setting request from an administrator terminal, where the account role setting request includes identification information of an account requested to be set and role information corresponding to the account requested to be set, and the role information corresponding to the account requested to be set includes at least one of a annotator, an auditor, a reader, and an administrator;
and the setting module is used for setting the role of the account requested to be set according to the identification information of the account requested to be set and the role information corresponding to the account requested to be set.
According to an aspect of the present disclosure, there is provided a medical image processing apparatus applied to a annotator terminal, the apparatus including:
the first generation module is used for responding to annotation starting operation and generating an annotation request, wherein the annotation request comprises identification information of a medical image which is requested to be annotated by the annotator terminal;
the first sending module is used for sending the marking request to a server;
the second receiving module is used for receiving a returned annotation task of the medical image requesting for annotation when the examination state information of the annotation data corresponding to the medical image requesting for annotation is not examined by the server; and/or receiving first prompt information returned by the server end in response to the fact that the audit state information is audited, wherein the first prompt information is used for prompting that the annotation data of the medical image requesting for annotation is audited by an auditor; and/or receiving second prompt information returned by the server in response to the fact that the audit state information is audit, wherein the second prompt information is used for prompting that the annotation data of the medical image requesting annotation is being audited by an auditor.
In one possible implementation, the apparatus further includes:
and the tenth receiving module is configured to receive an automatic annotation result corresponding to the medical image requested to be annotated, which is returned by the server in response to that the audit state information of the annotation data corresponding to the medical image requested to be annotated is not audited, where the automatic annotation result corresponding to the medical image requested to be annotated is obtained by automatically annotating the medical image requested to be annotated by at least one pre-trained annotation network.
According to an aspect of the present disclosure, there is provided a medical image processing apparatus applied to an auditor terminal, the apparatus including:
the second generation module is used for responding to the auditing starting operation and generating an auditing request, wherein the auditing request comprises the identification information of the medical image which is requested to be audited by the auditor terminal;
the second sending module is used for sending the audit request to a server;
a third receiving module, configured to receive an audit task of annotation data corresponding to the medical image requesting to be audited, where the annotation state information of the medical image requesting to be audited, which is responded by the server, is annotated and is not annotated; and/or receiving third prompt information returned by the server end in response to the fact that the annotation state information is in the annotation, wherein the third prompt information is used for prompting that the medical image requiring the examination is being annotated by the annotator; and/or receiving fourth prompt information returned by the server in response to the fact that the annotation state information is not annotated, wherein the fourth prompt information is used for prompting that the medical image which is requested to be audited is not annotated by the annotator.
According to an aspect of the present disclosure, there is provided a medical image processing apparatus applied to a terminal of a reader, the apparatus including:
the third generation module is used for responding to a film reading operation and generating a film reading request, wherein the film reading request comprises identification information of a medical image requested to be referred by the film reader terminal;
the third sending module is used for sending the film reading request to a server;
a fourth receiving module, configured to receive a medical image that is returned by the server in response to the radiographing request and requested to be referred to;
a fifth receiving module, configured to receive the returned annotation data corresponding to the medical image requested to be referred, after the annotation data corresponding to the medical image requested to be referred is reviewed in response to the server; and/or receiving the annotation data which is returned by the server and corresponds to the medical image requested to be consulted and has the latest annotation time in response to the fact that the annotation data corresponding to the medical image requested to be consulted is annotated and is not audited.
According to an aspect of the present disclosure, there is provided an electronic device including: one or more processors; a memory for storing executable instructions; wherein the one or more processors are configured to invoke the memory-stored executable instructions to perform the above-described method.
According to an aspect of the present disclosure, there is provided a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the above-described method.
The embodiment of the disclosure can realize an independent film reading system, an independent marking system and a fusion system of film reading and marking. In the embodiment of the disclosure, the annotation system and the film reading system share one set of database to store the annotation data corresponding to the medical image, so that the sharing of the annotation data corresponding to the medical image is realized between the annotation system and the film reading system, and the annotation data corresponding to the medical image is not required to be exported from the annotation system and then imported into the film reading system, thereby reducing the workload, saving the time, reducing the error rate and improving the intelligence.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the disclosure.
Fig. 1 shows an architecture diagram of a medical image processing system provided by an embodiment of the present disclosure.
Fig. 2 shows a flowchart of a medical image processing method provided by an embodiment of the present disclosure.
Fig. 3 shows a block diagram of a medical image processing apparatus provided by an embodiment of the present disclosure.
Fig. 4 illustrates a block diagram of an electronic device 800 provided by an embodiment of the disclosure.
Fig. 5 shows a block diagram of an electronic device 1900 provided by an embodiment of the disclosure.
Detailed Description
Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. In the drawings, like reference numbers can indicate functionally identical or similar elements. While the various aspects of the embodiments are presented in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.
The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the term "at least one" herein means any one of a plurality or any combination of at least two of a plurality, for example, including at least one of A, B, C, and may mean including any one or more elements selected from the group consisting of A, B and C.
Furthermore, in the following detailed description, numerous specific details are set forth in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, methods, means, elements and circuits that are well known to those skilled in the art have not been described in detail so as not to obscure the present disclosure.
Fig. 1 shows an architecture diagram of a medical image processing system provided by an embodiment of the present disclosure. As shown in fig. 1, the medical image processing system includes a server 100, a annotator terminal 200, a reviewer terminal 300, a reader terminal 400 and an administrator terminal 500. The server 100 may be deployed on a cloud and/or a local server. The annotator terminal 200 can be deployed on a terminal device associated with the annotator, i.e. the annotator terminal 200 can be a terminal capable of being operated by the annotator. The annotator may represent a person responsible for annotating the medical image. The annotator terminal 200 can be a notebook computer, a desktop computer, a tablet computer, a mobile phone, or the like. The number of annotator terminals 200 can be one or more. The auditor terminal 300 may be deployed on a terminal device associated with the auditor, that is, the auditor terminal 300 may be a terminal capable of being operated by the auditor. The reviewer may represent a person responsible for reviewing the annotation data of the medical image. The auditor terminal 300 may be a laptop, a desktop, a tablet, or a mobile phone. The number of the auditor terminals 300 may be one or more. Reader terminal 400 may be deployed on a terminal device associated with the reader, i.e. reader terminal 400 may be a terminal capable of being operated by the reader. The reader may represent a person, such as a physician, reviewing the medical image and/or the annotation data corresponding to the medical image. Reader terminal 400 may be a laptop, desktop, tablet, or mobile phone, etc. The number of reader terminals 400 may be one or more. The administrator terminal 500 may be deployed on a terminal device associated with an administrator, i.e., the administrator terminal 500 may be a terminal capable of being operated by the administrator. An administrator may represent a person who manages the system. The administrator terminal 500 may be a notebook computer, a desktop computer, a tablet computer, or a mobile phone. The number of the administrator terminal 500 may be one or more. The annotator terminal 200, the auditor terminal 300, the reader terminal 400 and the administrator terminal 500 can all access the server through browsers. In embodiments of the present disclosure, the medical image may represent a medically relevant image, e.g. may represent an image acquired by a medical imaging system. For example, the medical image may include a CT (Computed Tomography) map, an MRI (Magnetic Resonance Imaging) map, an NMRI (Nuclear Magnetic Resonance Imaging) map, a PET (Positron Emission Tomography) map, or the like.
Fig. 2 shows a flowchart of a medical image processing method provided by an embodiment of the present disclosure. The medical image processing method is applied to a server. The subject of execution of the method of processing a medical image may be a processing apparatus of a medical image. For example, the method of processing the medical image may be performed by a server or other processing device. In some possible implementations, the method of processing a medical image may be implemented by a processor invoking computer readable instructions stored in a memory. As shown in fig. 2, the method of processing a medical image includes steps S21 through S23.
In step S21, receiving annotation data corresponding to the medical image from the annotator terminal, and storing the annotation data corresponding to the medical image in a database, wherein the annotation data corresponding to the medical image is obtained by the annotator terminal by annotating the medical image.
In the embodiment of the present disclosure, a annotator can annotate the medical image through the annotator terminal to obtain annotation data corresponding to the medical image, that is, the annotation data corresponding to the medical image represents data obtained by annotating the medical image. For example, the annotator can annotate the position of the cell, the type of the cell (e.g., normal cell or diseased cell), the position of the lesion area, and the like in the medical image to obtain annotation data corresponding to the medical image, that is, the annotation data corresponding to the medical image can include information of the position of the cell, the type of the cell, the position of the lesion area, and the like in the medical image. The annotator terminal can send the annotation data corresponding to the medical image obtained by the annotator through annotating the medical image to the server side. After receiving the annotation data corresponding to the medical image sent by the annotator terminal, the server can store the annotation data corresponding to the medical image in the database. In the embodiment of the disclosure, the annotation system and the film reading system can share a set of database.
In step S22, a reading request from a reader terminal is received, where the reading request includes identification information of a medical image requested to be referred by the reader terminal.
In the embodiment of the disclosure, the film reader terminal can respond to the film reading operation of the film reader, generate a film reading request, and send the film reading request to the server. Wherein, reading the film can represent referring to the medical image, and the reading request can represent the request of referring to the medical image. In the embodiment of the present disclosure, the identification information of the medical image may be information such as a number or a name of the medical image that can be used to uniquely identify the medical image.
In step S23, in a case where it is determined that there is annotation data corresponding to the medical image requested to be referred to based on the identification information of the medical image requested to be referred to, annotation data corresponding to the medical image requested to be referred to is acquired from the database, and the medical image requested to be referred to and the annotation data corresponding to the medical image requested to be referred to are sent to the reader terminal.
In the embodiment of the disclosure, in the case that it is determined that there is no annotation data corresponding to the medical image requested to be referred to according to the identification information of the medical image requested to be referred to, the medical image requested to be referred to may be sent only to the reader terminal.
The embodiment of the disclosure can realize an independent film reading system, an independent marking system and a fusion system of film reading and marking. In the embodiment of the disclosure, the annotation system and the film reading system share one set of database to store the annotation data corresponding to the medical image, so that the sharing of the annotation data corresponding to the medical image is realized between the annotation system and the film reading system, and the annotation data corresponding to the medical image is not required to be exported from the annotation system and then imported into the film reading system, thereby reducing the workload, saving the time, reducing the error rate and improving the intelligence. In addition, the embodiment of the disclosure can support the user to use the film reading function and the marking function at the same time, and the film reading and marking are performed without switching the system. For example, the reader can label the medical image during the reading process.
In a possible implementation manner, the obtaining, from the database, annotation data corresponding to the medical image requested to be referred to includes: acquiring the checked annotation data corresponding to the medical image requested to be checked from the database under the condition that the annotation data corresponding to the medical image requested to be checked is checked; and/or acquiring the latest annotation data corresponding to the annotation time of the medical image requested to be referred from the database under the condition that the annotation data corresponding to the medical image requested to be referred is annotated and is not checked.
In this implementation manner, if the annotation data corresponding to the medical image requested to be referred to is already reviewed, the reviewed annotation data corresponding to the medical image requested to be referred to may be sent to the reader terminal. If the annotation data corresponding to the medical image requested to be referred is annotated and not checked, the annotation data with the latest annotation time corresponding to the medical image requested to be referred can be sent to the reader terminal. Therefore, the annotation data with the highest annotation quality corresponding to the medical image requested to be referred can be sent to the terminal of the reader.
As an example of this implementation manner, in a case that the annotation data corresponding to the medical image requested to be referred to is annotated and not reviewed, the obtaining, from the database, the annotation data with the latest annotation time corresponding to the medical image requested to be referred to includes: under the condition that the annotation data corresponding to the medical image requested to be consulted is annotated by an annotator and is not audited, obtaining the annotation data which is annotated by the annotator and has the latest annotation time and corresponds to the medical image requested to be consulted from the database; and/or acquiring an automatic labeling result corresponding to the medical image requested to be referred from the database under the condition that the labeling data corresponding to the medical image requested to be referred is not labeled by a labeling person, is automatically labeled and is not checked, wherein the automatic labeling result corresponding to the medical image requested to be referred is obtained by automatically labeling the medical image requested to be referred by at least one pre-trained labeling network.
In this example, the annotation network can be a pre-trained neural network. In this example, if the annotation data corresponding to the medical image requested to be referred to is annotated by an annotator and is not checked, the annotation data corresponding to the medical image requested to be referred to, which is annotated by the annotator and has the latest annotation time, may be sent to the reader terminal. If the annotation data corresponding to the medical image requested to be referred is not annotated by the annotator, is automatically annotated and is not checked, the automatic annotation result corresponding to the medical image requested to be referred can be sent to the reader terminal. If the annotation data corresponding to the medical image requested to be referred is not annotated by an annotator, is automatically annotated and is not checked, the automatic annotation result corresponding to the medical image requested to be referred is the annotation data with the latest annotation time corresponding to the medical image requested to be referred. Therefore, the annotation data with the highest annotation quality can be sent to the terminal of the reader, and even if the medical image is not annotated by the annotator, the automatic annotation result obtained by the automatic annotation of the annotation network can be provided to the terminal of the reader.
In a possible implementation manner, the medical image is stored in the database, and the annotation data corresponding to the medical image is obtained by the annotator terminal acquiring the medical image from the database and annotating the medical image; after the receiving of the radiograph interpretation request from the radiographer terminal, before the sending of the medical image requested to be referred to and the annotation data corresponding to the medical image requested to be referred to the radiographer terminal, the method further includes: and acquiring the medical image requested to be referred from the database according to the identification information of the medical image requested to be referred.
In the implementation mode, the marking system and the film reading system share one set of database to store the medical images, so that the medical images are shared between the marking system and the film reading system, and the same medical image does not need to be uploaded in the marking system and the film reading system respectively, so that the repeated work can be reduced, the time is saved, and the intellectualization is improved.
In one possible implementation, the method further includes: receiving an annotation request from the annotator terminal, wherein the annotation request comprises identification information of the medical image which is requested to be annotated by the annotator terminal; acquiring auditing state information of annotation data corresponding to the medical image requiring annotation according to the identification information of the medical image requiring annotation; responding to the audit state information that the audit state information is not audited, and sending the annotation task of the medical image requesting for annotation to the annotator terminal; and/or, in response to the audit state information being that the audit is performed, sending first prompt information to the annotator terminal, wherein the first prompt information is used for prompting that the annotation data of the medical image requesting for annotation is completely audited by the auditor; and/or sending second prompt information to the annotator terminal in response to the audit state information being audited, wherein the second prompt information is used for prompting that the annotation data of the medical image requesting annotation is being audited by the auditor.
In this implementation, the review state information of the annotation data corresponding to any medical image may be unchecked, reviewed, or being reviewed. In this implementation manner, if the review state information of the annotation data corresponding to the medical image requesting for annotation is not reviewed, it may be indicated that the medical image requesting for annotation can be currently annotated by the annotator, and at this time, the annotator is allowed to annotate the medical image requesting for annotation, which may not cause a conflict between the annotation process and the review process. If the audit state information of the annotation data corresponding to the medical image requesting for annotation is audited, the annotator may not be allowed to modify the annotation data, for example, the text content of the first prompt information may be "data audited, and cannot be further edited". If the review state information of the annotation data corresponding to the medical image requesting for annotation is in the process of being reviewed, the annotator may not be allowed to modify the annotation data currently, for example, the text content of the second prompt information may be that "the data has been opened by the reviewer and cannot be further edited".
In the implementation mode, by adding the auditing state information, the problem of conflict between the labeling process and the auditing process can be solved, so that the probability of data errors caused by the conflict between the labeling process and the auditing process can be reduced.
As an example of this implementation manner, the sending, to the annotator terminal, the annotation task of the medical image requesting for annotation in response to the audit status information being that the medical image is not audited includes: and in response to the fact that the audit state information is not audited, generating an annotation task of the medical image requesting for annotation according to an automatic annotation result corresponding to the medical image requesting for annotation, and sending the annotation task to the annotator terminal, wherein the automatic annotation result corresponding to the medical image requesting for annotation is obtained by automatically annotating the medical image requesting for annotation by at least one pre-trained annotation network.
In this example, the annotation task sent to the annotator terminal may include the automatic annotation result. The automatic labeling result obtained by the automatic labeling of the labeling network assists the labeling person to label, so that the labeling efficiency and the accuracy of the labeling data can be improved.
In one possible implementation, the method further includes: receiving an audit request from an auditor terminal, wherein the audit request comprises identification information of a medical image which is requested to be audited by the auditor terminal; acquiring the labeling state information of the medical image requiring examination according to the identification information of the medical image requiring examination; responding to the marked and non-marked state information, and sending an auditing task of marked data corresponding to the medical image requiring auditing to the auditor terminal; and/or sending third prompt information to the auditor terminal in response to the annotation state information being in the annotation, wherein the third prompt information is used for prompting that the medical image requiring the audit is being annotated by the annotator; and/or sending fourth prompt information to the auditor terminal in response to the fact that the labeled state information is not labeled, wherein the fourth prompt information is used for prompting that the medical image which is requested to be audited is not labeled by the annotator.
In this implementation, the annotation state information of the annotation data corresponding to any medical image may be annotated and not annotated, annotated or not annotated.
As an example of the implementation manner, for a medical image that has been labeled, if a annotator opens the annotation data again for modification, the annotation state information of the medical image will become in the annotation, and at this time, if the reviewer logs in the system, the reviewer cannot see the auditing task corresponding to the annotation data of the medical image. If the medical image is labeled and the labeled data corresponding to the medical image is not opened by the label maker currently when the auditor logs in the system, the auditor can see the auditing task corresponding to the medical image when logging in the system. And if the annotator opens the annotation task of the medical image after the auditor logs in the system, the server side sends third prompt information to the auditor terminal when the auditor terminal requests to audit the annotation data corresponding to the medical image. For example, the text of the third prompt message may be "the data has been opened by the annotator and cannot be further audited".
In the implementation mode, the problem of conflict between the auditing process and the labeling process is solved by adding the labeling state information, so that the probability of data errors caused by the conflict between the labeling process and the auditing process can be reduced.
As an example of this implementation manner, the sending, to the reviewer terminal, the review task of the annotation data corresponding to the medical image requested to be reviewed in response to the annotation state information being annotated and not annotated includes: and in response to the fact that the annotation state information is labeled and not labeled, generating an auditing task of the labeled data corresponding to the medical image requiring auditing according to the automatic labeling result corresponding to the medical image requiring auditing, and sending the auditing task to the auditor terminal, wherein the automatic labeling result corresponding to the medical image requiring auditing is obtained by automatically labeling the medical image requiring auditing by at least one pre-trained labeling network.
In this example, the audit task sent to the auditor terminal may include the automatic annotation result. The automatic labeling result obtained by the automatic labeling of the labeling network assists the auditor to audit, so that the auditing efficiency and the accuracy of the labeled data after auditing can be improved.
In a possible implementation manner, after the audit task of the annotation data corresponding to the medical image requested to be audited is sent to the auditor terminal, the method further includes: receiving the label data corresponding to the medical image from the auditor terminal after the audit; and sending the checked annotation data corresponding to the medical image to an annotator terminal corresponding to the medical image. According to the implementation mode, the annotator can improve the annotation level through the annotated data after learning and auditing.
In the embodiment of the disclosure, the administrator can perform operations such as uploading, deleting, viewing, screening, selecting and the like on a single or batch medical image through the administrator terminal, so as to realize the management on the medical image.
In one possible implementation, the method further includes: receiving a task distribution request from an administrator terminal, wherein the task distribution request comprises identification information of a medical image to be processed, identification information of a marker corresponding to the medical image to be processed and identification information of an auditor corresponding to the medical image to be processed; sending the annotation task of the medical image to be processed to the account of the annotator corresponding to the medical image to be processed according to the identification information of the medical image to be processed and the identification information of the annotator corresponding to the medical image to be processed; after the receiving of the annotation data corresponding to the medical image from the annotator terminal, the method further comprises: and sending an auditing task of the annotation data corresponding to the medical image to be processed to an account of the auditor corresponding to the medical image according to the identification information of the auditor corresponding to the medical image.
In this implementation, the administrator may select the uploaded medical images for the creation and distribution of tasks. When creating the task, the identification information of the annotator (for example, the account or name of the annotator) and the identification information of the reviewer (for example, the account or name of the reviewer) may be input, and the name of the task, the number of annotations, and the like may also be input. The labeling task of the same medical image can be distributed to different markers for labeling, and the same marker can repeatedly label for multiple times, so that the accuracy of the labeling data is improved.
In this implementation, after the annotation task of the medical image to be processed is sent to the account of the annotator corresponding to the medical image to be processed, the annotator logs in the system to see the annotation task assigned to the annotator. In one example, any annotator only has the permission to view the annotation tasks distributed to the annotator, but does not have the permission to view the annotation tasks distributed to other annotators.
In this implementation manner, after receiving the annotation data corresponding to the medical image from the annotator terminal, the server may automatically send an audit task of the annotation data corresponding to the medical image to be processed to an account of an auditor corresponding to the medical image. After the audit task of the labeled data corresponding to the medical image to be processed is sent to the account of the auditor corresponding to the medical image, the auditor logs in the system to see the audit task distributed to the auditor.
According to the implementation mode, the administrator can conveniently distribute the labeling tasks and the auditing tasks, the annotator can clearly determine the labeling tasks in charge of the annotator, and the auditor can timely receive the auditing tasks needing to be processed by the auditor.
In one possible implementation, the method further includes: receiving an account role setting request from an administrator terminal, wherein the account role setting request comprises identification information of an account requested to be set and role information corresponding to the account requested to be set, and the role information corresponding to the account requested to be set comprises at least one of a annotator, an auditor, a reader and an administrator; and setting the role of the account requested to be set according to the identification information of the account requested to be set and the role information corresponding to the account requested to be set.
In this implementation manner, the user role types may be an administrator and a common user, respectively, where the common user may be classified as a annotator, an auditor, and a reader. The same user may have one or more roles. The number of administrators may be one or more.
According to the implementation mode, the same account can have a plurality of roles, so that the problems that the same user needs to register a plurality of accounts for processing different types of work (such as reading and marking) and needs to switch account use can be solved. In addition, according to the implementation mode, the ordinary users (annotators, auditors and film readers) can clearly identify the roles of the users, and the problem that the user roles are not clearly divided can be solved.
In one possible implementation, the server may export the annotation data to the terminal in response to an annotation data export request from the terminal, where the annotation data export request may include identification information of the medical image requested to be exported.
In this implementation, the terminal may be an administrator terminal, a annotator terminal, an auditor terminal, or a reader terminal. In this implementation manner, when the annotation data corresponding to the medical image requested to be derived is already reviewed, the reviewed annotation data corresponding to the medical image requested to be derived may be obtained from the database and derived; and/or, when the annotation data corresponding to the medical image requested to be derived is annotated and not checked, acquiring the annotation data corresponding to the medical image requested to be derived from the database, wherein the annotation time is latest, and then deriving the annotation data.
As an example of this implementation manner, in a case that the annotation data corresponding to the medical image requested to be derived is annotated and not reviewed, the obtaining and deriving the annotation data corresponding to the medical image requested to be derived from the database with the latest annotation time includes: under the condition that the annotation data corresponding to the medical image requested to be derived is annotated by an annotator and is not checked, obtaining the annotation data which is annotated by the annotator and has the latest annotation time and corresponds to the medical image requested to be consulted from the database and deriving the annotation data; and/or, under the condition that the annotation data corresponding to the medical image requested to be derived is not annotated by an annotator, is automatically annotated and is not audited, acquiring and deriving an automatic annotation result corresponding to the medical image requested to be derived from the database, wherein the automatic annotation result corresponding to the medical image requested to be derived is obtained by automatically annotating the medical image requested to be derived by at least one pre-trained annotation network.
The embodiment of the disclosure also provides a medical image processing method, which is applied to the annotator terminal. In some possible implementations, the method of processing a medical image may be implemented by a processor invoking computer readable instructions stored in a memory. The method comprises the following steps: responding to an annotation starting operation, and generating an annotation request, wherein the annotation request comprises identification information of a medical image which is requested to be annotated by the annotator terminal; sending the marking request to a server; receiving an annotation task of the medical image requested to be annotated, which is returned by the server end in response to the fact that the audit state information of the annotation data corresponding to the medical image requested to be annotated is not audited; and/or receiving first prompt information returned by the server end in response to the fact that the audit state information is audited, wherein the first prompt information is used for prompting that the annotation data of the medical image requesting for annotation is audited by an auditor; and/or receiving second prompt information returned by the server in response to the fact that the audit state information is audit, wherein the second prompt information is used for prompting that the annotation data of the medical image requesting annotation is being audited by an auditor.
By adding the auditing state information, the problem of conflict between the labeling process and the auditing process can be solved, and the probability of data errors caused by the conflict between the labeling process and the auditing process can be reduced.
In a possible implementation manner, after the sending the annotation request to the server, the method further includes: and receiving an automatic annotation result corresponding to the medical image requested to be annotated, which is returned by the server in response to the fact that the audit state information of the annotation data corresponding to the medical image requested to be annotated is not audited, wherein the automatic annotation result corresponding to the medical image requested to be annotated is obtained by automatically annotating the medical image requested to be annotated by at least one pre-trained annotation network.
The automatic labeling result obtained by the automatic labeling of the labeling network assists the labeling person to label, so that the labeling efficiency and the accuracy of the labeling data can be improved.
The embodiment of the disclosure also provides a medical image processing method, which is applied to the auditor terminal. In some possible implementations, the method of processing a medical image may be implemented by a processor invoking computer readable instructions stored in a memory. The method comprises the following steps: responding to the auditing starting operation, and generating an auditing request, wherein the auditing request comprises identification information of the medical image which is requested to be audited by the auditor terminal; sending the audit request to a server; receiving an auditing task of the server side responding to the annotation state information of the medical image requiring auditing, wherein the auditing task is returned by the server side when the annotation state information of the medical image requiring auditing is annotated and is not annotated; and/or receiving third prompt information returned by the server end in response to the fact that the annotation state information is in the annotation, wherein the third prompt information is used for prompting that the medical image requiring the examination is being annotated by the annotator; and/or receiving fourth prompt information returned by the server in response to the fact that the annotation state information is not annotated, wherein the fourth prompt information is used for prompting that the medical image which is requested to be audited is not annotated by the annotator.
By adding the labeling state information, the problem of conflict between the auditing process and the labeling process is solved, so that the probability of data errors caused by the conflict between the labeling process and the auditing process can be reduced.
The embodiment of the disclosure also provides a medical image processing method, which is applied to a terminal of a reader. In some possible implementations, the method of processing a medical image may be implemented by a processor invoking computer readable instructions stored in a memory. The method comprises the following steps: responding to a film reading operation, and generating a film reading request, wherein the film reading request comprises identification information of a medical image requested to be referred by the film reader terminal; sending the film reading request to a server; receiving the medical image which is returned by the server end in response to the film reading request and is requested to be consulted; receiving the returned label data corresponding to the medical image requested to be referred, which is obtained after the label data corresponding to the medical image requested to be referred is audited and responded by the server; and/or receiving the annotation data which is returned by the server and corresponds to the medical image requested to be consulted and has the latest annotation time in response to the fact that the annotation data corresponding to the medical image requested to be consulted is annotated and is not audited.
According to the embodiment of the disclosure, the reader terminal can obtain the annotation data with the highest annotation quality corresponding to the medical image requested to be referred.
The embodiment of the disclosure also provides a medical image processing method, which is applied to an administrator terminal, and the method comprises the following steps: responding to an account role setting operation, and generating an account role setting request, wherein the account role setting request comprises identification information of an account requested to be set and role information corresponding to the account requested to be set, and the role information corresponding to the account requested to be set comprises at least one of a annotator, an auditor, a reader and an administrator; and sending the account role setting request to a server, wherein the account role setting request is used for requesting the server to set the role of the account requested to be set according to the identification information of the account requested to be set and the role information corresponding to the account requested to be set.
According to the embodiment of the disclosure, the same account can have multiple roles, so that the problems that the same user needs to register multiple accounts for processing different types of work (such as reading and marking) and needs to switch account use can be solved.
It is understood that the above-mentioned method embodiments of the present disclosure can be combined with each other to form a combined embodiment without departing from the logic of the principle, which is limited by the space, and the detailed description of the present disclosure is omitted.
It will be understood by those skilled in the art that in the method of the present invention, the order of writing the steps does not imply a strict order of execution and any limitations on the implementation, and the specific order of execution of the steps should be determined by their function and possible inherent logic.
In addition, the present disclosure also provides a medical image processing apparatus, an electronic device, a computer-readable storage medium, and a program, which can be used to implement any one of the medical image processing methods provided by the present disclosure, and the corresponding technical solutions and descriptions and corresponding descriptions in the methods section are not repeated.
Fig. 3 shows a block diagram of a medical image processing apparatus provided by an embodiment of the present disclosure. As shown in fig. 3, the medical image processing apparatus includes: the storage module 31 is configured to receive annotation data corresponding to a medical image from an annotator terminal, and store the annotation data corresponding to the medical image in a database, where the annotation data corresponding to the medical image is obtained by annotating the medical image by the annotator terminal; the first receiving module 32 is configured to receive a reading request from a reader terminal, where the reading request includes identification information of a medical image requested to be referred by the reader terminal; a first obtaining module 33, configured to, in a case that it is determined that there is annotation data corresponding to the medical image requested to be referred to according to the identification information of the medical image requested to be referred to, obtain annotation data corresponding to the medical image requested to be referred to from the database, and send the medical image requested to be referred to and the annotation data corresponding to the medical image requested to be referred to the reader terminal.
In a possible implementation manner, the medical image is stored in the database, and the annotation data corresponding to the medical image is obtained by the annotator terminal acquiring the medical image from the database and annotating the medical image; the device further comprises: and the second acquisition module is used for acquiring the medical image requested to be referred from the database according to the identification information of the medical image requested to be referred.
In one possible implementation, the apparatus further includes: a sixth receiving module, configured to receive an annotation request from the annotator terminal, where the annotation request includes identification information of a medical image for which the annotator terminal requests annotation; a third obtaining module, configured to obtain, according to the identification information of the medical image requested to be annotated, audit state information of annotation data corresponding to the medical image requested to be annotated; a fourth sending module, configured to send, in response to that the audit state information is not audit, an annotation task of the medical image requesting for annotation to the annotator terminal; and/or, in response to the audit state information being that the audit is performed, sending first prompt information to the annotator terminal, wherein the first prompt information is used for prompting that the annotation data of the medical image requesting for annotation is completely audited by the auditor; and/or sending second prompt information to the annotator terminal in response to the audit state information being audited, wherein the second prompt information is used for prompting that the annotation data of the medical image requesting annotation is being audited by the auditor.
In a possible implementation manner, the fourth sending module is configured to: and in response to the fact that the audit state information is not audited, generating an annotation task of the medical image requesting for annotation according to an automatic annotation result corresponding to the medical image requesting for annotation, and sending the annotation task to the annotator terminal, wherein the automatic annotation result corresponding to the medical image requesting for annotation is obtained by automatically annotating the medical image requesting for annotation by at least one pre-trained annotation network.
In one possible implementation, the apparatus further includes: a seventh receiving module, configured to receive an audit request from an auditor terminal, where the audit request includes identification information of a medical image requested to be audited by the auditor terminal; the fourth obtaining module is used for obtaining the labeling state information of the medical image which is requested to be audited according to the identification information of the medical image which is requested to be audited; a fifth sending module, configured to send, to the reviewer terminal, an audit task of the annotation data corresponding to the medical image that is requested to be audited in response to that the annotation status information is in an annotated and non-annotated state; and/or sending third prompt information to the auditor terminal in response to the annotation state information being in the annotation, wherein the third prompt information is used for prompting that the medical image requiring the audit is being annotated by the annotator; and/or sending fourth prompt information to the auditor terminal in response to the fact that the labeled state information is not labeled, wherein the fourth prompt information is used for prompting that the medical image which is requested to be audited is not labeled by the annotator.
In a possible implementation manner, the fifth sending module is configured to: and in response to the fact that the annotation state information is labeled and not labeled, generating an auditing task of the labeled data corresponding to the medical image requiring auditing according to the automatic labeling result corresponding to the medical image requiring auditing, and sending the auditing task to the auditor terminal, wherein the automatic labeling result corresponding to the medical image requiring auditing is obtained by automatically labeling the medical image requiring auditing by at least one pre-trained labeling network.
In a possible implementation manner, the first obtaining module 32 is configured to: acquiring the checked annotation data corresponding to the medical image requested to be checked from the database under the condition that the annotation data corresponding to the medical image requested to be checked is checked; and/or acquiring the latest annotation data corresponding to the annotation time of the medical image requested to be referred from the database under the condition that the annotation data corresponding to the medical image requested to be referred is annotated and is not checked.
In a possible implementation manner, the first obtaining module 32 is configured to: under the condition that the annotation data corresponding to the medical image requested to be consulted is annotated by an annotator and is not audited, obtaining the annotation data which is annotated by the annotator and has the latest annotation time and corresponds to the medical image requested to be consulted from the database; and/or acquiring an automatic labeling result corresponding to the medical image requested to be referred from the database under the condition that the labeling data corresponding to the medical image requested to be referred is not labeled by a labeling person, is automatically labeled and is not checked, wherein the automatic labeling result corresponding to the medical image requested to be referred is obtained by automatically labeling the medical image requested to be referred by at least one pre-trained labeling network.
In one possible implementation, the apparatus further includes: an eighth receiving module, configured to receive a task distribution request from an administrator terminal, where the task distribution request includes identification information of a medical image to be processed, identification information of a annotator corresponding to the medical image to be processed, and identification information of a reviewer corresponding to the medical image to be processed; a sixth sending module, configured to send, according to the identification information of the medical image to be processed and the identification information of the annotator corresponding to the medical image to be processed, an annotation task of the medical image to be processed to an account of the annotator corresponding to the medical image to be processed; and the seventh sending module is used for sending the auditing task of the annotation data corresponding to the medical image to be processed to the account of the auditor corresponding to the medical image according to the identification information of the auditor corresponding to the medical image.
In one possible implementation, the apparatus further includes: a ninth receiving module, configured to receive an account role setting request from an administrator terminal, where the account role setting request includes identification information of an account requested to be set and role information corresponding to the account requested to be set, and the role information corresponding to the account requested to be set includes at least one of a annotator, an auditor, a reader, and an administrator; and the setting module is used for setting the role of the account requested to be set according to the identification information of the account requested to be set and the role information corresponding to the account requested to be set.
The embodiment of the disclosure can realize an independent film reading system, an independent marking system and a fusion system of film reading and marking. In the embodiment of the disclosure, the annotation system and the film reading system share one set of database to store the annotation data corresponding to the medical image, so that the sharing of the annotation data corresponding to the medical image is realized between the annotation system and the film reading system, and the annotation data corresponding to the medical image is not required to be exported from the annotation system and then imported into the film reading system, thereby reducing the workload, saving the time, reducing the error rate and improving the intelligence.
The embodiment of the present disclosure further provides a processing apparatus for medical images, which is applied to a terminal of a annotator, the apparatus includes: the first generation module is used for responding to annotation starting operation and generating an annotation request, wherein the annotation request comprises identification information of a medical image which is requested to be annotated by the annotator terminal; the first sending module is used for sending the marking request to a server; the second receiving module is used for receiving a returned annotation task of the medical image requesting for annotation when the examination state information of the annotation data corresponding to the medical image requesting for annotation is not examined by the server; and/or receiving first prompt information returned by the server end in response to the fact that the audit state information is audited, wherein the first prompt information is used for prompting that the annotation data of the medical image requesting for annotation is audited by an auditor; and/or receiving second prompt information returned by the server in response to the fact that the audit state information is audit, wherein the second prompt information is used for prompting that the annotation data of the medical image requesting annotation is being audited by an auditor.
By adding the auditing state information, the problem of conflict between the labeling process and the auditing process can be solved, and the probability of data errors caused by the conflict between the labeling process and the auditing process can be reduced.
In one possible implementation, the apparatus further includes: and the tenth receiving module is configured to receive an automatic annotation result corresponding to the medical image requested to be annotated, which is returned by the server in response to that the audit state information of the annotation data corresponding to the medical image requested to be annotated is not audited, where the automatic annotation result corresponding to the medical image requested to be annotated is obtained by automatically annotating the medical image requested to be annotated by at least one pre-trained annotation network.
The embodiment of the present disclosure further provides a medical image processing apparatus, which is applied to an auditor terminal, and the apparatus includes: the second generation module is used for responding to the auditing starting operation and generating an auditing request, wherein the auditing request comprises the identification information of the medical image which is requested to be audited by the auditor terminal; the second sending module is used for sending the audit request to a server; a third receiving module, configured to receive an audit task of annotation data corresponding to the medical image requesting to be audited, where the annotation state information of the medical image requesting to be audited, which is responded by the server, is annotated and is not annotated; and/or receiving third prompt information returned by the server end in response to the fact that the annotation state information is in the annotation, wherein the third prompt information is used for prompting that the medical image requiring the examination is being annotated by the annotator; and/or receiving fourth prompt information returned by the server in response to the fact that the annotation state information is not annotated, wherein the fourth prompt information is used for prompting that the medical image which is requested to be audited is not annotated by the annotator.
By adding the labeling state information, the problem of conflict between the auditing process and the labeling process is solved, so that the probability of data errors caused by the conflict between the labeling process and the auditing process can be reduced.
The embodiment of the present disclosure further provides a medical image processing apparatus, which is applied to a terminal of a reader, and the apparatus includes: the third generation module is used for responding to a film reading operation and generating a film reading request, wherein the film reading request comprises identification information of a medical image requested to be referred by the film reader terminal; the third sending module is used for sending the film reading request to a server; a fourth receiving module, configured to receive a medical image that is returned by the server in response to the radiographing request and requested to be referred to; a fifth receiving module, configured to receive the returned annotation data corresponding to the medical image requested to be referred, after the annotation data corresponding to the medical image requested to be referred is reviewed in response to the server; and/or receiving the annotation data which is returned by the server and corresponds to the medical image requested to be consulted and has the latest annotation time in response to the fact that the annotation data corresponding to the medical image requested to be consulted is annotated and is not audited.
According to the embodiment of the disclosure, the reader terminal can obtain the annotation data with the highest annotation quality corresponding to the medical image requested to be referred.
In some embodiments, functions of or modules included in the apparatus provided in the embodiments of the present disclosure may be used to execute the method described in the above method embodiments, and specific implementation thereof may refer to the description of the above method embodiments, and for brevity, will not be described again here.
Embodiments of the present disclosure also provide a computer-readable storage medium having stored thereon computer program instructions, which when executed by a processor, implement the above-described method. The computer-readable storage medium may be a non-volatile computer-readable storage medium, or may be a volatile computer-readable storage medium.
The embodiments of the present disclosure also provide a computer program product, which includes computer readable codes, when the computer readable codes are run on a device, a processor in the device executes instructions for implementing the processing method of the medical image provided in any one of the above embodiments.
The disclosed embodiments also provide another computer program product for storing computer readable instructions, which when executed cause a computer to execute the operations of the medical image processing method provided in any one of the above embodiments.
An embodiment of the present disclosure further provides an electronic device, including: one or more processors; a memory for storing executable instructions; wherein the one or more processors are configured to invoke the memory-stored executable instructions to perform the above-described method.
The electronic device may be provided as a terminal, server, or other form of device.
Fig. 4 illustrates a block diagram of an electronic device 800 provided by an embodiment of the disclosure. For example, the electronic device 800 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, or the like terminal.
Referring to fig. 4, electronic device 800 may include one or more of the following components: processing component 802, memory 804, power component 806, multimedia component 808, audio component 810, input/output (I/O) interface 812, sensor component 814, and communication component 816.
The processing component 802 generally controls overall operation of the electronic device 800, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing components 802 may include one or more processors 820 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 802 can include one or more modules that facilitate interaction between the processing component 802 and other components. For example, the processing component 802 can include a multimedia module to facilitate interaction between the multimedia component 808 and the processing component 802.
The memory 804 is configured to store various types of data to support operations at the electronic device 800. Examples of such data include instructions for any application or method operating on the electronic device 800, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 804 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
The power supply component 806 provides power to the various components of the electronic device 800. The power components 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the electronic device 800.
The multimedia component 808 includes a screen that provides an output interface between the electronic device 800 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 808 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the electronic device 800 is in an operation mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
The audio component 810 is configured to output and/or input audio signals. For example, the audio component 810 includes a Microphone (MIC) configured to receive external audio signals when the electronic device 800 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 804 or transmitted via the communication component 816. In some embodiments, audio component 810 also includes a speaker for outputting audio signals.
The I/O interface 812 provides an interface between the processing component 802 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor assembly 814 includes one or more sensors for providing various aspects of state assessment for the electronic device 800. For example, the sensor assembly 814 may detect an open/closed state of the electronic device 800, the relative positioning of components, such as a display and keypad of the electronic device 800, the sensor assembly 814 may also detect a change in the position of the electronic device 800 or a component of the electronic device 800, the presence or absence of user contact with the electronic device 800, orientation or acceleration/deceleration of the electronic device 800, and a change in the temperature of the electronic device 800. Sensor assembly 814 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 814 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 814 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 816 is configured to facilitate wired or wireless communication between the electronic device 800 and other devices. The electronic device 800 may access a wireless network based on a communication standard, such as Wi-Fi, 2G, 3G, 4G/LTE, 5G, or a combination thereof. In an exemplary embodiment, the communication component 816 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 816 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the electronic device 800 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.
In an exemplary embodiment, a non-transitory computer-readable storage medium, such as the memory 804, is also provided that includes computer program instructions executable by the processor 820 of the electronic device 800 to perform the above-described methods.
Fig. 5 shows a block diagram of an electronic device 1900 provided by an embodiment of the disclosure. For example, the electronic device 1900 may be provided as a server. Referring to fig. 5, electronic device 1900 includes a processing component 1922 further including one or more processors and memory resources, represented by memory 1932, for storing instructions, e.g., applications, executable by processing component 1922. The application programs stored in memory 1932 may include one or more modules that each correspond to a set of instructions. Further, the processing component 1922 is configured to execute instructions to perform the above-described method.
The electronic device 1900 may also include a power component 1926 configured to perform power management of the electronic device 1900, a wired or wireless network interface 1950 configured to connect the electronic device 1900 to a network, and an input/output (I/O) interface 1958. The electronic device 1900 may operate based on an operating system, such as Windows, stored in memory 1932
Figure BDA0002476601950000201
Mac OS
Figure BDA0002476601950000202
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Or the like.
In an exemplary embodiment, a non-transitory computer readable storage medium, such as the memory 1932, is also provided that includes computer program instructions executable by the processing component 1922 of the electronic device 1900 to perform the above-described methods.
The present disclosure may be systems, methods, and/or computer program products. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present disclosure.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
The computer program instructions for carrying out operations of the present disclosure may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry that can execute the computer-readable program instructions implements aspects of the present disclosure by utilizing the state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).
Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The computer program product may be embodied in hardware, software or a combination thereof. In an alternative embodiment, the computer program product is embodied in a computer storage medium, and in another alternative embodiment, the computer program product is embodied in a Software product, such as a Software Development Kit (SDK), or the like.
Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.

Claims (20)

1. A medical image processing method is applied to a server side, and comprises the following steps:
receiving annotation data corresponding to a medical image from an annotator terminal, and storing the annotation data corresponding to the medical image in a database, wherein the annotation data corresponding to the medical image is obtained by the annotator terminal by annotating the medical image;
receiving a film reader request from a film reader terminal, wherein the film reader request comprises identification information of a medical image requested to be referred by the film reader terminal;
and under the condition that the annotation data corresponding to the medical image requested to be referred exists according to the identification information of the medical image requested to be referred, acquiring the annotation data corresponding to the medical image requested to be referred from the database, and sending the medical image requested to be referred and the annotation data corresponding to the medical image requested to be referred to the reader terminal.
2. The method according to claim 1, wherein the medical image is stored in the database, and the annotation data corresponding to the medical image is obtained by the annotator terminal acquiring the medical image from the database and annotating the medical image;
after the receiving of the radiograph interpretation request from the radiographer terminal, before the sending of the medical image requested to be referred to and the annotation data corresponding to the medical image requested to be referred to the radiographer terminal, the method further includes:
and acquiring the medical image requested to be referred from the database according to the identification information of the medical image requested to be referred.
3. The method according to claim 1 or 2, characterized in that the method further comprises:
receiving an annotation request from the annotator terminal, wherein the annotation request comprises identification information of the medical image which is requested to be annotated by the annotator terminal;
acquiring auditing state information of annotation data corresponding to the medical image requiring annotation according to the identification information of the medical image requiring annotation;
responding to the audit state information that the audit state information is not audited, and sending the annotation task of the medical image requesting for annotation to the annotator terminal; and/or, in response to the audit state information being that the audit is performed, sending first prompt information to the annotator terminal, wherein the first prompt information is used for prompting that the annotation data of the medical image requesting for annotation is completely audited by the auditor; and/or sending second prompt information to the annotator terminal in response to the audit state information being audited, wherein the second prompt information is used for prompting that the annotation data of the medical image requesting annotation is being audited by the auditor.
4. The method according to claim 3, wherein the sending the annotation task of the medical image requesting annotation to the annotator terminal in response to the audit status information being non-audit comprises:
and in response to the fact that the audit state information is not audited, generating an annotation task of the medical image requesting for annotation according to an automatic annotation result corresponding to the medical image requesting for annotation, and sending the annotation task to the annotator terminal, wherein the automatic annotation result corresponding to the medical image requesting for annotation is obtained by automatically annotating the medical image requesting for annotation by at least one pre-trained annotation network.
5. The method according to any one of claims 1 to 4, further comprising:
receiving an audit request from an auditor terminal, wherein the audit request comprises identification information of a medical image which is requested to be audited by the auditor terminal;
acquiring the labeling state information of the medical image requiring examination according to the identification information of the medical image requiring examination;
responding to the marked and non-marked state information, and sending an auditing task of marked data corresponding to the medical image requiring auditing to the auditor terminal; and/or sending third prompt information to the auditor terminal in response to the annotation state information being in the annotation, wherein the third prompt information is used for prompting that the medical image requiring the audit is being annotated by the annotator; and/or sending fourth prompt information to the auditor terminal in response to the fact that the labeled state information is not labeled, wherein the fourth prompt information is used for prompting that the medical image which is requested to be audited is not labeled by the annotator.
6. The method according to claim 5, wherein the sending an audit task of the annotation data corresponding to the medical image requested to be audited to the auditor terminal in response to the annotation state information being annotated and not annotated comprises:
and in response to the fact that the annotation state information is labeled and not labeled, generating an auditing task of the labeled data corresponding to the medical image requiring auditing according to the automatic labeling result corresponding to the medical image requiring auditing, and sending the auditing task to the auditor terminal, wherein the automatic labeling result corresponding to the medical image requiring auditing is obtained by automatically labeling the medical image requiring auditing by at least one pre-trained labeling network.
7. The method according to any one of claims 1 to 6, wherein the obtaining annotation data corresponding to the medical image requested to be referred to from the database comprises:
acquiring the checked annotation data corresponding to the medical image requested to be checked from the database under the condition that the annotation data corresponding to the medical image requested to be checked is checked;
and/or the presence of a gas in the gas,
and acquiring the annotation data with the latest annotation time corresponding to the medical image requested to be consulted from the database under the condition that the annotation data corresponding to the medical image requested to be consulted is annotated and is not audited.
8. The method according to claim 7, wherein, in a case that the annotation data corresponding to the medical image requested to be referred to is annotated and not audited, acquiring annotation data corresponding to the medical image requested to be referred to with the latest annotation time from the database comprises:
under the condition that the annotation data corresponding to the medical image requested to be consulted is annotated by an annotator and is not audited, obtaining the annotation data which is annotated by the annotator and has the latest annotation time and corresponds to the medical image requested to be consulted from the database;
and/or the presence of a gas in the gas,
and under the condition that the annotation data corresponding to the medical image requested to be referred are not annotated by an annotator, are automatically annotated and are not audited, acquiring an automatic annotation result corresponding to the medical image requested to be referred from the database, wherein the automatic annotation result corresponding to the medical image requested to be referred is obtained by automatically annotating the medical image requested to be referred by at least one pre-trained annotation network.
9. The method according to any one of claims 1 to 8, further comprising:
receiving a task distribution request from an administrator terminal, wherein the task distribution request comprises identification information of a medical image to be processed, identification information of a marker corresponding to the medical image to be processed and identification information of an auditor corresponding to the medical image to be processed;
sending the annotation task of the medical image to be processed to the account of the annotator corresponding to the medical image to be processed according to the identification information of the medical image to be processed and the identification information of the annotator corresponding to the medical image to be processed;
after the receiving of the annotation data corresponding to the medical image from the annotator terminal, the method further comprises:
and sending an auditing task of the annotation data corresponding to the medical image to be processed to an account of the auditor corresponding to the medical image according to the identification information of the auditor corresponding to the medical image.
10. The method according to any one of claims 1 to 9, further comprising:
receiving an account role setting request from an administrator terminal, wherein the account role setting request comprises identification information of an account requested to be set and role information corresponding to the account requested to be set, and the role information corresponding to the account requested to be set comprises at least one of a annotator, an auditor, a reader and an administrator;
and setting the role of the account requested to be set according to the identification information of the account requested to be set and the role information corresponding to the account requested to be set.
11. A medical image processing method is applied to a annotator terminal, and comprises the following steps:
responding to an annotation starting operation, and generating an annotation request, wherein the annotation request comprises identification information of a medical image which is requested to be annotated by the annotator terminal;
sending the marking request to a server;
receiving an annotation task of the medical image requested to be annotated, which is returned by the server end in response to the fact that the audit state information of the annotation data corresponding to the medical image requested to be annotated is not audited; and/or receiving first prompt information returned by the server end in response to the fact that the audit state information is audited, wherein the first prompt information is used for prompting that the annotation data of the medical image requesting for annotation is audited by an auditor; and/or receiving second prompt information returned by the server in response to the fact that the audit state information is audit, wherein the second prompt information is used for prompting that the annotation data of the medical image requesting annotation is being audited by an auditor.
12. The method of claim 11, wherein after the sending the annotation request to the server, the method further comprises:
and receiving an automatic annotation result corresponding to the medical image requested to be annotated, which is returned by the server in response to the fact that the audit state information of the annotation data corresponding to the medical image requested to be annotated is not audited, wherein the automatic annotation result corresponding to the medical image requested to be annotated is obtained by automatically annotating the medical image requested to be annotated by at least one pre-trained annotation network.
13. A medical image processing method is applied to a reviewer terminal, and comprises the following steps:
responding to the auditing starting operation, and generating an auditing request, wherein the auditing request comprises identification information of the medical image which is requested to be audited by the auditor terminal;
sending the audit request to a server;
receiving an auditing task of the server side responding to the annotation state information of the medical image requiring auditing, wherein the auditing task is returned by the server side when the annotation state information of the medical image requiring auditing is annotated and is not annotated; and/or receiving third prompt information returned by the server end in response to the fact that the annotation state information is in the annotation, wherein the third prompt information is used for prompting that the medical image requiring the examination is being annotated by the annotator; and/or receiving fourth prompt information returned by the server in response to the fact that the annotation state information is not annotated, wherein the fourth prompt information is used for prompting that the medical image which is requested to be audited is not annotated by the annotator.
14. A medical image processing method is applied to a terminal of a reader, and comprises the following steps:
responding to a film reading operation, and generating a film reading request, wherein the film reading request comprises identification information of a medical image requested to be referred by the film reader terminal;
sending the film reading request to a server;
receiving the medical image which is returned by the server end in response to the film reading request and is requested to be consulted;
receiving the returned label data corresponding to the medical image requested to be referred, which is obtained after the label data corresponding to the medical image requested to be referred is audited and responded by the server; and/or receiving the annotation data which is returned by the server and corresponds to the medical image requested to be consulted and has the latest annotation time in response to the fact that the annotation data corresponding to the medical image requested to be consulted is annotated and is not audited.
15. A medical image processing apparatus, applied to a server, the apparatus comprising:
the storage module is used for receiving annotation data corresponding to the medical image from an annotator terminal and storing the annotation data corresponding to the medical image in a database, wherein the annotation data corresponding to the medical image is obtained by annotating the medical image by the annotator terminal;
the system comprises a first receiving module, a second receiving module and a judging module, wherein the first receiving module is used for receiving a film reading request from a film reader terminal, and the film reading request comprises identification information of a medical image which is requested to be referred by the film reader terminal;
the first obtaining module is used for obtaining the annotation data corresponding to the medical image requested to be referred from the database under the condition that the annotation data corresponding to the medical image requested to be referred exists according to the identification information of the medical image requested to be referred, and sending the medical image requested to be referred and the annotation data corresponding to the medical image requested to be referred to the reader terminal.
16. A medical image processing apparatus, applied to a annotator terminal, the apparatus comprising:
the first generation module is used for responding to annotation starting operation and generating an annotation request, wherein the annotation request comprises identification information of a medical image which is requested to be annotated by the annotator terminal;
the first sending module is used for sending the marking request to a server;
the second receiving module is used for receiving a returned annotation task of the medical image requesting for annotation when the examination state information of the annotation data corresponding to the medical image requesting for annotation is not examined by the server; and/or receiving first prompt information returned by the server end in response to the fact that the audit state information is audited, wherein the first prompt information is used for prompting that the annotation data of the medical image requesting for annotation is audited by an auditor; and/or receiving second prompt information returned by the server in response to the fact that the audit state information is audit, wherein the second prompt information is used for prompting that the annotation data of the medical image requesting annotation is being audited by an auditor.
17. A medical image processing apparatus, applied to an auditor terminal, the apparatus comprising:
the second generation module is used for responding to the auditing starting operation and generating an auditing request, wherein the auditing request comprises the identification information of the medical image which is requested to be audited by the auditor terminal;
the second sending module is used for sending the audit request to a server;
a third receiving module, configured to receive an audit task of annotation data corresponding to the medical image requesting to be audited, where the annotation state information of the medical image requesting to be audited, which is responded by the server, is annotated and is not annotated; and/or receiving third prompt information returned by the server end in response to the fact that the annotation state information is in the annotation, wherein the third prompt information is used for prompting that the medical image requiring the examination is being annotated by the annotator; and/or receiving fourth prompt information returned by the server in response to the fact that the annotation state information is not annotated, wherein the fourth prompt information is used for prompting that the medical image which is requested to be audited is not annotated by the annotator.
18. A medical image processing apparatus, applied to a terminal of a reader, the apparatus comprising:
the third generation module is used for responding to a film reading operation and generating a film reading request, wherein the film reading request comprises identification information of a medical image requested to be referred by the film reader terminal;
the third sending module is used for sending the film reading request to a server;
a fourth receiving module, configured to receive a medical image that is returned by the server in response to the radiographing request and requested to be referred to;
a fifth receiving module, configured to receive the returned annotation data corresponding to the medical image requested to be referred, after the annotation data corresponding to the medical image requested to be referred is reviewed in response to the server; and/or receiving the annotation data which is returned by the server and corresponds to the medical image requested to be consulted and has the latest annotation time in response to the fact that the annotation data corresponding to the medical image requested to be consulted is annotated and is not audited.
19. An electronic device, comprising:
one or more processors;
a memory for storing executable instructions;
wherein the one or more processors are configured to invoke the memory-stored executable instructions to perform the method of any one of claims 1 to 14.
20. A computer readable storage medium having computer program instructions stored thereon, which when executed by a processor implement the method of any one of claims 1 to 14.
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