CN110335667B - Medical image management method, device, system and storage medium - Google Patents
Medical image management method, device, system and storage medium Download PDFInfo
- Publication number
- CN110335667B CN110335667B CN201910426710.3A CN201910426710A CN110335667B CN 110335667 B CN110335667 B CN 110335667B CN 201910426710 A CN201910426710 A CN 201910426710A CN 110335667 B CN110335667 B CN 110335667B
- Authority
- CN
- China
- Prior art keywords
- file
- medical image
- target
- analysis
- preset
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- 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
- G06F16/53—Querying
- G06F16/535—Filtering based on additional data, e.g. user or group profiles
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Epidemiology (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Radiology & Medical Imaging (AREA)
- General Engineering & Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Primary Health Care (AREA)
- Public Health (AREA)
- Medical Treatment And Welfare Office Work (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The invention relates to the technical field of artificial intelligence, and provides a medical image management method, a device, a system and a storage medium, wherein the medical image management method comprises the following steps: acquiring an effective medical image query request sent by an operation user; acquiring a target medical image from an image database according to the effective medical image query request; comparing a DICOM format file memory corresponding to the target medical image with a preset memory, and sending the target medical image to an artificial intelligence terminal for image analysis and processing according to a comparison result; and receiving the first target file and the second target file in the DICOM format returned by the artificial intelligence terminal responding to the image analysis processing result, and feeding back the first target file and the second target file to the operation user. The technical scheme of the invention realizes the integration of the PACS end and the AI end, and avoids the process that an operating user needs to log in the AI end when using the PACS end, thereby effectively improving the working efficiency of the operating user.
Description
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a medical image management method, a medical image management device, a medical image management system and a storage medium
Background
At present, a Picture Archiving and Communication System (PACS) is an important system mainly applied to a hospital image department to help a user operate a medical image, and with the development of science and technology, an Artificial Intelligence (AI) technology has been applied to the medical field, wherein an image AI auxiliary diagnosis system exists, which can help the user perform AI analysis on the medical image for the user to view an AI analysis result.
Disclosure of Invention
The embodiment of the invention provides a medical image management method, a medical image management device, a medical image management system and a storage medium, and aims to solve the problems that a PACS (picture archiving and communication system) end and an AI (Artificial intelligence) end cannot be integrated, and the working efficiency of a user is reduced.
The embodiment of the invention provides a medical image management method, which comprises the following steps executed by an image filing and communication end:
acquiring an effective medical image query request sent by an operation user;
acquiring a target medical image from an image database according to the effective medical image query request;
comparing a DICOM format file memory corresponding to the target medical image with a preset memory, and sending the target medical image to an artificial intelligence terminal for image analysis and processing according to a comparison result, wherein the target medical image comprises the DICOM format file memory;
and receiving a first target file and a second target file in a DICOM format returned by the artificial intelligence terminal responding to the image analysis processing result, and feeding back the first target file and the second target file to an operation user.
The embodiment of the invention provides a medical image management method, which comprises the following steps executed by an artificial intelligence end:
receiving a target medical image sent by an image filing and communication end in a medical image management system;
sending the target medical image to a preset analysis port, and performing image analysis processing through an analysis algorithm corresponding to the target medical image in the preset analysis port to obtain an analysis file in an XML format or a JSON format;
converting the XML format or JSON format analysis file to obtain a first target file and a second target file in DICOM format;
and sending the first target file and the second target file to an image archiving and communication terminal in the medical image management system.
The embodiment of the invention provides a medical image management device, which comprises an image filing and communication end, wherein the image filing and communication end comprises:
the request acquisition module is used for acquiring an effective medical image query request sent by an operation user;
the image acquisition module is used for acquiring a target medical image from an image database according to the effective medical image query request;
the first sending module is used for comparing a DICOM format file memory corresponding to the target medical image with a preset memory and sending the target medical image to an artificial intelligence terminal for image analysis and processing according to a comparison result, wherein the target medical image comprises the DICOM format file memory;
and the first receiving module is used for receiving the first target file and the second target file in the DICOM format returned by the artificial intelligence terminal response image analysis processing result and feeding back the first target file and the second target file to an operation user.
The embodiment of the invention provides a medical image management device, which comprises an artificial intelligence end, wherein the artificial intelligence end comprises:
the second receiving module is used for receiving the target medical image sent by the image archiving and communication end in the medical image management system;
the analysis module is used for sending the target medical image to a preset analysis port, and performing image analysis processing through an analysis algorithm corresponding to the target medical image in the preset analysis port to obtain an analysis file in an XML format or a JSON format;
the conversion module is used for converting the XML format or JSON format analysis file to obtain a first target file and a second target file in DICOM format;
and the second sending module is used for sending the first target file and the second target file to an image archiving and communication terminal in the medical image management system.
A medical image management system comprises an image filing and communication end and an artificial intelligence end connected with the image filing and communication end;
the image archiving and communication terminal comprises a first memory and a first processor, wherein a medical image management program is stored in the first memory, and the medical image management program realizes the steps of the medical image management method when being executed by the first processor;
the artificial intelligence terminal comprises a second memory and a second processor, wherein a medical image management program is stored in the second memory, and the steps of the medical image management method are realized when the medical image management program is executed by the second processor.
A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out the steps of the medical image management method described above, or which, when being executed by a processor, carries out the steps of the medical image management method described above.
The image filing and communication terminal obtains a target medical image according to an effective medical image query request, sends the target medical image to the artificial intelligence terminal for image analysis processing, the artificial intelligence terminal performs image analysis processing on the template medical image after receiving the template medical image to obtain an analysis file, performs conversion processing on the analysis file to obtain a first target file and a second target file, finally sends the first target file and the second target file to the image filing and communication terminal in the medical image management system, the image filing and communication terminal receives the first target file and the second target file returned by the artificial intelligence terminal and feeds the first target file and the second target file back to an operating user, so that the integration of the PACS terminal and the AI terminal is realized, and the operating user can directly check the AI analysis result of the target medical image in the PACS terminal, the process that the operating user still needs to log in the AI end when using the PACS end is avoided, and the working efficiency of the operating user is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive labor.
Fig. 1 is a flowchart applied to an image archiving and communication terminal in a medical image management method according to an embodiment of the present invention;
fig. 2 is a flowchart of step S1 in the medical image management method according to the embodiment of the present invention;
fig. 3 is a flowchart applied to an artificial intelligence end in a medical image management method according to an embodiment of the present invention;
fig. 4 is a flowchart illustrating step S6 in the medical image management method according to the embodiment of the present invention;
fig. 5 is a flowchart of sending the type information and the algorithm identification information to a target user for processing in the medical image management method according to the embodiment of the present invention;
fig. 6 is a flowchart illustrating step S7 in the medical image management method according to the embodiment of the present invention;
fig. 7 is a schematic diagram of a medical image management apparatus applied to an image archiving and communication terminal according to an embodiment of the present invention;
fig. 8 is a schematic diagram of a medical image management apparatus applied to an artificial intelligence terminal according to an embodiment of the present invention;
fig. 9 is a block diagram of a basic mechanism of a medical image management system according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The data processing method provided by the application is applied to the server side, and the server side can be realized by an independent server or a server cluster formed by a plurality of servers. In an embodiment, as shown in fig. 1, a medical image management method is provided, which is applied to an image archiving and communication terminal in a medical image management system, and includes the following steps:
s1: and acquiring an effective medical image query request sent by an operation user.
In the embodiment of the invention, the effective medical image query request refers to a legal query request obtained by judging and screening user permissions. When detecting that an operating user sends an effective medical image query request in a client, directly acquiring the effective medical image query request.
S2: and acquiring the target medical image from the image database according to the effective medical image query request.
Specifically, according to an effective medical image query request, the same identification information as the effective medical image query request is queried from a preset image library, if the same identification information as the effective medical image query request is queried, it is indicated that a relevant medical image is queried from the preset image library, a medical image corresponding to the identification information is determined as a target medical image, and the target medical image is acquired.
The preset image library is specially used for storing medical images, identification information corresponding to the medical images, type information corresponding to the medical images and DICOM format files corresponding to the medical images.
Further, if the identification information same as the effective medical image query request is not queried, the relevant medical image is not queried from the preset image library, and the prompt information of the relevant medical image not queried is fed back to the user interface to prompt the user to input the query request again.
For example: the method comprises the steps that identification information 123 corresponding to a medical image A and the medical image A exists in a preset image library, if an effective medical image query request is 123, the medical image A corresponding to the identification information 123 is determined as a target medical image due to the fact that the identification information 123 identical to the effective medical image query request 123 exists in the preset image library; if the valid medical image query request is 456, since the same identification information as the valid medical image query request 456 does not exist in the preset image library, it indicates that no relevant medical image is queried from the preset image library.
It should be noted that, when acquiring a target medical image from an image database, an image Archiving and Communication terminal (PACS) in the medical image management system sends a connection signal to an artificial intelligence terminal in the medical image management system to establish signal connection, and if the artificial intelligence terminal receives the connection signal within a preset time, the artificial intelligence terminal establishes connection with the PACS terminal and feeds back the connection signal to the PACS terminal. The preset time may be one minute, or may be set according to the actual requirement of the user, which is not limited herein.
S3: and comparing the DICOM format file memory corresponding to the target medical image with a preset memory, and sending the target medical image to an artificial intelligence terminal for image analysis and processing according to the comparison result, wherein the target medical image comprises the DICOM format file memory.
In the embodiment of the present invention, the artificial intelligence terminal refers to a port dedicated to image analysis of a target medical image in a medical image management system.
Specifically, according to the DICOM-formatted file memory corresponding to the target medical image obtained in step S2, the DICOM-formatted file memory is compared with a preset memory in the artificial intelligence terminal for receiving the target medical image, and if the DICOM-formatted file memory is less than or equal to the preset memory, the DICOM-formatted file is transmitted to the temporary image storage location of the artificial intelligence terminal through the network transmission protocol, and the transmission progress is monitored in real time. If the memory of the DICOM format file is larger than the preset memory, the memory of the DICOM format file is compressed according to the preset requirement, and the compressed DICOM format file is transmitted to a temporary image storage position of the artificial intelligence terminal through a network transmission protocol.
The preset memory is a memory used for receiving the target medical image in the artificial intelligence terminal, and may be 1M specifically, or may be set according to the actual needs of the user. The preset requirement refers to compressing the DICOM format file into a memory range set by a user.
It should be noted that, in the process of monitoring the transmission progress in real time, when the DICOM-formatted file is monitored to be completely transmitted, the connection with the artificial intelligence terminal is interrupted; and when the DICOM format file transmission failure is monitored, sending prompt information of the transmission failure to an operation user for processing.
S4: and receiving the first target file and the second target file in the DICOM format returned by the artificial intelligence terminal responding to the image analysis processing result, and feeding back the first target file and the second target file to the operation user.
In the embodiment of the invention, the first target file is an SR format file in DICOM format, and the second target file is a GSPS format file in DICOM format.
Specifically, by detecting the preset feedback library, when detecting that a first target file and a second target file exist in the preset processing library, the artificial intelligence terminal indicates that the image analysis of the target medical image is completed and feeds back an analysis processing result, extracts the first target file and the second target file in the preset processing library, and feeds back the first target file and the second target file to the operation user in a preset manner.
The preset feedback library is a database which is specially used for receiving a first target folder and a second target folder fed back by the artificial intelligence terminal.
The preset mode can be specifically in the form of an email, and can also be directly fed back on an operation user interface of the client.
In this embodiment, the PACS terminal obtains the target medical image according to the effective medical image query request, sends the target medical image to the artificial intelligence terminal for image analysis processing, finally receives the first target file and the second target file returned by the artificial intelligence terminal, and feeds the first target file and the second target file back to the operating user, thereby realizing integration of the PACS terminal and the AI terminal, enabling the operating user to directly view an AI analysis result of the target medical image in the PACS terminal, avoiding a process that the operating user needs to log in the AI terminal when using the PACS terminal, and further improving the working efficiency of the operating user.
In an embodiment, as shown in fig. 2, the step S1 of acquiring the valid medical image query request sent by the operating user includes the following steps:
s11: and when the query request of the operation user is detected, acquiring the user authority of the operation user from a preset authority group.
Specifically, when an inquiry request sent by an operating user at a client is detected, an operating user id corresponding to the operating user is obtained from a preset user library, and a user right corresponding to a legal user id which is the same as the operating user id in a preset right group is obtained through the preset right group.
The preset user library is a database specially used for storing operation users and operation user ids.
The preset authority group is specially used for storing a legal user id and a user authority corresponding to the legal user id.
S12: and judging whether the query request of the operating user exceeds the authority or not according to the user authority.
In the embodiment of the invention, the user right means that the operation user has a request right for the query request, and the user right comprises all right requests corresponding to the operation user. The user right corresponding to the operation user is obtained through step S11, all right requests corresponding to the operation user are obtained according to the user right, the query request of the operation user is compared with each right request corresponding thereto, and whether the query request of the operation user exceeds the right is determined according to the comparison result.
S13: and if the operation user has the authority of the query request, determining the query request as an effective query request, and acquiring the effective query request.
In this embodiment, the query request of the operating user is compared with each permission request corresponding to the query request according to step S12, and if the query request is the same as the permission request after the comparison, it indicates that the operating user has the permission corresponding to the query request, and the query request is determined to be an effective query request, and the effective query request is extracted.
It should be noted that, if the query request is different from the permission request, it indicates that the operation user does not have the permission corresponding to the query request, determines the query request as an invalid query request, and performs revocation processing on the query request, and feeds back the query request to the operation user corresponding to the query request in a preset manner, so as to prompt that the operation user is restricted by the permission and cannot access the corresponding query request.
For example, suppose that the user right corresponding to the user C is to execute the query request C1, if the user C selects the query request C1, the query request C1 is determined as an effective query request, and if the user C selects the query request C2, the query request C2 is determined as an invalid query request, and the query request C2 is fed back to the user C in a preset manner, so as to prompt that the user C is restricted by the right and cannot access the query request C2.
In the embodiment, when the query request is detected, permission judgment is carried out according to the user permission, whether the operation user has the permission of the query request is judged, and then an effective query request is determined, so that permission verification of the operation user is realized, the safety of the query request is ensured, the safety performance of the system can be effectively improved, the operation user can normally use the system, and the working efficiency of the operation user is ensured.
In an embodiment, as shown in fig. 3, a medical image management method is provided, which is applied to an artificial intelligence terminal in a medical image management system, and includes the following steps:
s5: and receiving the target medical image sent by the image archiving and communication terminal in the medical image management system.
In the embodiment of the invention, the image archiving and communication terminal is a system applied to a hospital image department in a medical image management system, and the main task is to store various daily medical images including images generated by equipment such as nuclear magnetism, CT, ultrasound, various X-ray machines, various infrared instruments, microscopes and the like in a digital manner through various interfaces such as an analog interface, a DICOM interface and a network interface, so that the images can be quickly recalled for use under certain authorization when needed, and meanwhile, some auxiliary diagnosis management functions are added.
Specifically, by detecting the preset communication library, when the target medical image is detected to exist in the preset communication library, the target medical image is sent by the image archiving and communication end, and the target medical image in the preset communication library is received. The preset communication library is specially used for storing target medical images which are archived and sent by the communication terminal.
S6: and sending the target medical image to a preset analysis port, and carrying out image analysis processing through an analysis algorithm corresponding to the target medical image in the preset analysis port to obtain an analysis file in an XML format or a JSON format.
In the embodiment of the present invention, the image analysis processing refers to processing the target medical image into an analysis file. The analysis file is mainly an XML format file or a JSON format file, and the analysis file can reflect data of the target medical image after analysis, such as a lesion position, a lesion description, and the like.
Specifically, the target medical image is sent to a preset analysis port through a hypertext transfer protocol or a file transfer protocol, and an analysis algorithm corresponding to algorithm identification information in the preset analysis port, which is the same as identification information corresponding to the target medical image, is used for performing image analysis processing, so that an analysis file in an XML format or a JSON format after the image analysis processing is obtained.
The preset analysis port is a port specially used for analyzing the medical image, the port comprises different types of analysis algorithms, and each type of analysis algorithm has corresponding algorithm identification information. For example, an analysis algorithm of the CT medical image type exists in the preset analysis port, and algorithm identification information corresponding to the analysis algorithm is "CT type".
S7: and converting the XML format or JSON format analysis file to obtain a first target file and a second target file in DICOM format.
In the embodiment of the present invention, only the Digital Imaging and Communications in Medicine (DICOM) format file is applicable to the PACS, and the analysis file is mainly an XML format file or a JSON format file and cannot be applicable to the PACS, so after the analysis file is obtained, in order to enable the analysis file to be applicable to the PACS, the analysis file needs to be converted, the XML format file or the JSON format file is converted into the DICOM format file, and the converted DICOM format file is mainly a Structured Report (SR) format file and a gray soft copy display state (GSPS) format file. The SR type is mainly used for reflecting the analysis description obtained after the target medical image is analyzed; the GSPS type is mainly used for reflecting the marking of the focus position obtained after the target medical image is analyzed.
Specifically, the XML-formatted or JSON-formatted analysis file in step S6 is imported into a preset conversion library for conversion processing, so as to obtain an SR-formatted file and a GSPS-formatted file in DICOM format after conversion processing, determine the SR-formatted file as a first target file, determine the GSPS-formatted file as a second target file, and store the first target file and the second target file in a preset repository. The preset conversion library is a processing database which is specially used for converting the analysis file into the SR format file and the GSPS format file. The preset repository refers to a database which is specially used for storing the first target file and the second target file.
It should be noted that, a common DICOM file generally contains two parts of information, one part is text, such as patient information, examination information, equipment information, etc.; the other part is an image such as an X-ray film, an ultrasound image, an electrocardiogram, an eye scan, and the like.
However, the GSPS format file does not contain video. It is mainly used to record some labels made by doctors on the images, such as: drawing a circle to mark the diameter of the tumor, drawing a broken line to mark the length of the organ that produces the lesion, or writing a sentence as a key cue, etc.
S8: and sending the first target file and the second target file to an image archiving and communication terminal in the medical image management system.
Specifically, by detecting the preset repository, when detecting that a first target file and a second target file exist in the preset repository, the first target file and the second target file are sent to an image archiving and communication terminal in the medical image management system according to a network transmission protocol preset by a user. The network transmission protocol may specifically be a C-MOVE protocol, and may also be set according to the actual needs of the user, which is not limited herein.
In this embodiment, the artificial intelligence end performs image analysis processing on the received target medical image to obtain an analysis file in an XML format or a JSON format, performs conversion processing on the analysis file in the XML format or the JSON format to obtain a first target file and a second target file in a DICOM format, and finally sends the first target file and the second target file to the image archiving and communication end in the medical image management system, so that integration of the PACS end and the AI end is realized, an operating user can directly check an AI analysis result of the target medical image in the PACS end, a process that the operating user needs to log in the AI end when using the PACS end is avoided, and further the work efficiency of the operating user is improved.
In an embodiment, as shown in fig. 4, the step S6 of sending the target medical image to a predetermined analysis port for image analysis processing, and obtaining the analysis file includes the following steps:
s61: and matching type information corresponding to the target medical image with algorithm identification information in a preset analysis port.
Specifically, type information corresponding to the target medical image is obtained according to the preset image library in step S2, and the type information is matched with algorithm identification information in a preset analysis port.
S62: if the type information is the same as the algorithm identification information, an analysis algorithm corresponding to the algorithm identification information is obtained to analyze and process the target medical image, and an analysis file is obtained.
Specifically, according to step S61, matching the type information corresponding to the target medical image with the algorithm identification information in the preset analysis port, when it is matched that the type information is the same as the algorithm identification information, indicating that an analysis algorithm for analyzing and processing the target medical image exists in the preset analysis port, and obtaining the analysis algorithm corresponding to the algorithm identification information from the preset analysis port, and analyzing and processing the target medical image by using the analysis algorithm to obtain an analysis file after analysis and processing.
For example, an analysis algorithm Q and algorithm identification information corresponding to the analysis algorithm Q are "CT type" in a preset analysis port, a target medical image a and type information "CT type" corresponding to the target medical image a are present, the type information "CT type" is matched with the algorithm identification information "CT type", and as the type information is the same as the algorithm identification information, the analysis algorithm Q is obtained and is used for analyzing and processing the target medical image.
In this embodiment, the type information corresponding to the target medical image is matched with the algorithm identification information, and the target medical image is analyzed and processed by using the analysis algorithm with the same matching, so as to obtain an analysis file, thereby accurately performing image analysis and processing on the target medical image, ensuring the accuracy of subsequently feeding back the analysis file to an operation user, and further ensuring the work efficiency of the operation user.
In an embodiment, as shown in fig. 5, after step S61, the method for managing medical images further includes the following steps:
s91: and if the type information is different from the algorithm identification information, sending the type information and the corresponding target medical image to the target user.
In the embodiment of the present invention, according to step S61, the type information corresponding to the target medical image is matched with the algorithm identification information in the preset analysis port, and when the type information is not the same as the algorithm identification information, it indicates that there is no analysis algorithm for analyzing the target medical image in the preset analysis port, and the type information and the target medical image corresponding to the type information are sent to the target user for analysis in a preset manner. The target user refers to a legal user who specially analyzes and processes the target medical image.
S92: and acquiring a processing file fed back by the target user, and determining the processing file as an analysis file.
In the embodiment of the invention, the processing file refers to a legal file obtained after manual intervention processing is performed by a target user, and the file format of the processing file is mainly an XML format or a JSON format.
Specifically, by detecting a processing file in the user feedback library, when the processing file is detected, it indicates that the target user has completed analysis processing on the target medical image, and the processing file is acquired and determined as an analysis file. The user feedback library is a database which is specially used for storing processing files fed back by target users.
In this embodiment, under the condition that the matching between the type information corresponding to the target medical image and the algorithm identification information fails, the type information and the target medical image corresponding to the type information are sent to the target user for manual processing, and finally, the processing file fed back by the target user is determined as the analysis file, so that the analysis file can be obtained by processing through manual intervention under the condition that the matching between the type information and the algorithm identification information fails, the condition that the preset analysis port cannot analyze and process the target medical image is avoided, the processing efficiency of analyzing and processing the target medical image is improved, the operation user is ensured to normally receive the analysis file, and the working efficiency of the operation user is improved.
In an embodiment, as shown in fig. 6, the step S7 of converting the analysis file to obtain the first object file and the second object file includes the following steps:
s71: identifying a transition type of the analysis file, wherein the transition type comprises a structured report type and a gray-scale soft copy display state type.
In the embodiment of the invention, when the analysis file is converted, the analysis file is mainly converted into the structured report format file and the gray level soft copy display state format file, wherein the conversion type of the analysis file corresponding to the structured report format file is the structured report type, and the conversion type of the analysis file corresponding to the gray level soft copy display state format file is the gray level soft copy display state type.
Specifically, when the analysis file is to be converted, the format file identification information is acquired from the preset data table, and the conversion type corresponding to the analysis file is identified through the format file identification information. The preset data table is specially used for storing format identification information corresponding to the analysis file during conversion processing, the format file identification information comprises a structured report and a gray level soft copy display state, the analysis file conversion type corresponding to the format file identification information of the structured report is a structured report type, and the analysis file conversion type corresponding to the format file identification information of the gray level soft copy display state is a gray level soft copy display state type.
S72: and if the conversion type is the structured report type, generating a portable document format file according to the analysis file.
In the embodiment of the present invention, according to the Format file identification information obtained in step S71, when the Format file identification information is a structured report, the conversion type corresponding to the conversion processing performed on the analysis file is represented as a structured report type, the analysis file is used as report data content, and the report data content is imported into a preset report template generation library to generate a Portable Document Format (PDF) report file.
The preset report template generation library is specially used for generating a corresponding PDF report file from an analysis file according to a set report template.
S73: and importing the portable document format file into a preset structured report conversion library for conversion processing to obtain a first target file after conversion processing.
Specifically, according to the PDF report file obtained in step S72, the PDF report file is imported into a preset structured report conversion library for conversion processing, so as to obtain a DICOM file of the structured report type after the conversion processing, and the DICOM file of the structured report type is identified as the first target file.
The preset structured report conversion library is a database which is specially used for converting the PDF report file into a DICOM file of a structured report type.
S74: and if the conversion type is the gray level soft copy display state type, importing the analysis file into a preset gray level soft copy display state conversion library for conversion processing to obtain a second target file after conversion processing.
Specifically, according to the format file identification information obtained in step S71, when the format file identification information is in the gray soft copy display state, the conversion type corresponding to the conversion processing performed on the analysis file is the gray soft copy display state type, the analysis file is imported into the preset gray soft copy display state conversion library for conversion processing, so as to obtain a DICOM file of the gray soft copy display state type after the conversion processing, and the DICOM file of the gray soft copy display state type is identified as the second target file.
The preset gray level soft copy display state conversion library is a database which is specially used for converting an analysis file into a DICOM file of a gray level soft copy display state type.
In this embodiment, the conversion type of the analysis file is identified, and the conversion processing is performed according to the conversion type, so as to obtain the first target file and the second target file after the conversion processing, thereby realizing that the analysis file not suitable for the PACS terminal is converted into the first target file and the second target file suitable for the PACS terminal, ensuring that the subsequent PACS terminal can accurately receive the first target file and the second target file sent by the artificial intelligence terminal, feeding back accurate data for an operating user, and further improving the stability of the integration of the subsequent PACS terminal and the AI terminal.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
In an embodiment, a medical image management apparatus is provided, which corresponds to the medical image management method in the above embodiments one to one. As shown in fig. 7, the image archiving and communication end of the medical image management apparatus includes a request acquisition module 71, an image acquisition module 72, a first sending module 73 and a first receiving module 74. The functional modules are explained in detail as follows:
a request obtaining module 71, configured to obtain an effective medical image query request sent by an operation user;
an image obtaining module 72, configured to obtain a target medical image from an image database according to the valid medical image query request;
the first sending module 73 is configured to compare a DICOM-format file memory corresponding to the target medical image with a preset memory, and send the target medical image to the artificial intelligence terminal for image analysis and processing according to a comparison result, where the target medical image includes the DICOM-format file memory;
the first receiving module 74 receives the first target file and the second target file in the DICOM format returned by the artificial intelligence terminal response image analysis processing result, and feeds back the first target file and the second target file to the operation user.
Further, the request acquisition module 71 includes:
the authority acquisition sub-module is used for acquiring the user authority of the operating user from a preset authority group when the query request of the operating user is detected;
the judgment submodule is used for judging whether the query request of the operation user exceeds the authority or not according to the user authority;
and the determining submodule is used for determining the query request as an effective query request and acquiring the effective query request if the operation user has the authority of the query request.
Referring to fig. 8, as shown in fig. 8, the artificial intelligence end of the medical image management apparatus includes a second receiving module 81, an analyzing module 82, a converting module 83 and a second sending module 84. The functional modules are explained in detail as follows:
a second receiving module 81, configured to receive a target medical image sent by an image archiving and communication terminal in the medical image management system;
the analysis module 82 is configured to send the target medical image to a preset analysis port, and perform image analysis processing through an analysis algorithm corresponding to the target medical image in the preset analysis port to obtain an analysis file in an XML format or a JSON format;
the conversion module 83 is configured to perform conversion processing on the analysis file in the XML format or the JSON format to obtain a first target file and a second target file in the DICOM format;
and a second sending module 84, configured to send the first object file and the second object file to an image archiving and communication terminal in the medical image management system.
Further, the analysis module 82 includes:
the matching sub-module is used for matching the type information corresponding to the target medical image with algorithm identification information in a preset analysis port;
and the matching same submodule is used for acquiring an analysis algorithm corresponding to the algorithm identification information to analyze and process the target medical image to obtain an analysis file if the type information is the same as the algorithm identification information.
Further, the medical image management apparatus further includes:
the matching inequality module is used for sending the type information and the corresponding target medical image to a target user if the type information is not identical to the algorithm identification information;
and the feedback acquisition module is used for acquiring the processing file fed back by the target user and determining the processing file as the analysis file.
Further, the conversion module 83 includes:
the identification submodule is used for identifying the conversion type of the analysis file, wherein the conversion type comprises a structured report type and a gray soft copy display state type;
the first type submodule is used for generating a portable document format file according to the analysis file if the conversion type is the structured report type;
the first conversion submodule is used for importing the portable document format file into a preset structured report conversion library for conversion processing to obtain a first target file after conversion processing;
and the second type submodule is used for importing the analysis file into a preset gray level soft copy display state conversion library for conversion processing if the conversion type is a gray level soft copy display state type, so as to obtain a second target file after the conversion processing.
Some embodiments of the present application disclose a medical image management system. Specifically, referring to fig. 9, the system includes an image archiving and communication terminal 901 and an artificial intelligence terminal 902 connected to the image archiving and communication terminal.
As illustrated in fig. 9, the image archiving and communication terminal 901 includes a first memory 9011, a first processor 9012, and a network interface 9013, which are communicatively connected to each other through a system bus. It is noted that fig. 9 only shows the image archiving and communication end 901 with components 9011 and 9013, but it is understood that not all of the shown components are required to be implemented, and that more or fewer components may be implemented instead. As will be understood by those skilled in the art, the computer device is a device capable of automatically performing numerical calculation and/or information processing according to a preset or stored instruction, and the hardware includes, but is not limited to, a microprocessor, an Application Specific Integrated Circuit (ASIC), a Programmable Gate Array (FPGA), a Digital Signal Processor (DSP), an embedded device, and the like.
The image archiving and communication terminal 901 may be a desktop computer, a notebook, a palm computer, a cloud server, and other computing devices. The computer equipment can carry out man-machine interaction with a user through a keyboard, a mouse, a remote controller, a touch panel or voice control equipment and the like.
The first memory 9011 includes at least one type of readable storage medium including a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a Read Only Memory (ROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a Programmable Read Only Memory (PROM), a magnetic memory, a magnetic disk, an optical disk, and the like. In some embodiments, the first storage 9011 may be an internal storage unit of the image archiving and communication terminal 901, for example, a hard disk or a memory of the image archiving and communication terminal 901. In other embodiments, the first memory 9011 may also be an external storage device of the image archiving and communication terminal 901, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), or the like, provided on the image archiving and communication terminal 901. Of course, the first storage 9011 may also include both an internal storage unit and an external storage device of the image archiving and communication terminal 901. In this embodiment, the first storage 9011 is generally configured to store an operating system and various types of application software installed on the image archiving and communication terminal 901, for example, program codes of the medical image management method, and the like. In addition, the first memory 9011 may also be used to temporarily store various types of data that have been output or are to be output.
The first processor 9012 may be a Central Processing Unit (CPU), a controller, a microcontroller, a microprocessor, or other data Processing chip in some embodiments. The first processor 9012 is generally configured to control the overall operation of the image archiving and communication terminal 901. In this embodiment, the first processor 9012 is configured to execute the program code stored in the first memory 9011 or process data, for example, execute the program code of the medical image management method.
The network interface 9013 may include a wireless network interface or a wired network interface, and the network interface 9013 is generally used to establish communication connections between the image archiving and communication terminal 901, the artificial intelligence terminal 902, and other electronic devices.
The artificial intelligence terminal 902 includes a second memory 9021, a second processor 9022, and a network interface 9023, which are communicatively connected to each other through a system bus. It is noted that only the artificial intelligence end 902 having the components 9021 and 9023 is shown in fig. 9, but it is to be understood that not all of the illustrated components are required to be implemented, and that more or fewer components can alternatively be implemented. As will be understood by those skilled in the art, the computer device is a device capable of automatically performing numerical calculation and/or information processing according to a preset or stored instruction, and the hardware includes, but is not limited to, a microprocessor, an Application Specific Integrated Circuit (ASIC), a Programmable Gate Array (FPGA), a Digital Signal Processor (DSP), an embedded device, and the like.
The artificial intelligence terminal 902 can be a desktop computer, a notebook, a palm computer, a cloud server, and other computing devices. The computer equipment can carry out man-machine interaction with a user through a keyboard, a mouse, a remote controller, a touch panel or voice control equipment and the like.
The second memory 9021 includes at least one type of readable storage medium including a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a Read Only Memory (ROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a Programmable Read Only Memory (PROM), a magnetic memory, a magnetic disk, an optical disk, and the like. In some embodiments, the second storage 9021 may be an internal storage unit of the artificial intelligence terminal 902, such as a hard disk or a memory of the artificial intelligence terminal 902. In other embodiments, the second memory 9021 may also be an external storage device of the artificial intelligence terminal 902, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), or the like, provided on the artificial intelligence terminal 902. Of course, the second storage 9021 may also include both an internal storage unit of the artificial intelligence terminal 902 and an external storage device thereof. In this embodiment, the second storage 9021 is generally configured to store an operating system and various types of application software installed in the artificial intelligence terminal 902, such as program codes of the medical image management method. In addition, the second memory 9021 may also be used to temporarily store various types of data that have been output or are to be output.
The second processor 9022 may be a Central Processing Unit (CPU), a controller, a microcontroller, a microprocessor, or other data Processing chip in some embodiments. The second processor 9022 is generally configured to control the overall operation of the artificial intelligence terminal 902. In this embodiment, the second processor 9022 is configured to execute the program code stored in the second memory 9021 or process data, for example, execute the program code of the medical image management method.
The network interface 9023 may include a wireless network interface or a wired network interface, and the network interface 9023 is generally configured to establish communication connections between the artificial intelligence terminal 902, the image archiving and communication terminal 901, and other electronic devices.
The present application further provides another embodiment, which is to provide a computer-readable storage medium storing a medical image data entry program, which is executable by at least one processor to cause the at least one processor to perform the steps of any one of the medical image management methods described above.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present application.
Finally, it should be noted that the above-mentioned embodiments illustrate only some of the embodiments of the present application, and are therefore not to be considered limiting of its scope, for the invention may admit to other equally effective embodiments. This application is capable of embodiments in many different forms and is provided for the purpose of enabling a thorough understanding of the disclosure of the application. Although the present application has been described in detail with reference to the foregoing embodiments, it will be apparent to one skilled in the art that the present application may be practiced without modification or with equivalents of some of the features described in the foregoing embodiments. All equivalent structures made by using the contents of the specification and the drawings of the present application are directly or indirectly applied to other related technical fields and are within the protection scope of the present application.
Claims (9)
1. A medical image management method is applied to an image filing and communication end in a medical image management system, and is characterized in that the medical image management method comprises the following steps:
acquiring an effective medical image query request sent by an operation user;
acquiring a target medical image from an image database according to the effective medical image query request;
comparing a DICOM format file memory corresponding to the target medical image with a preset memory, and sending the target medical image to an artificial intelligence terminal for image analysis and processing according to a comparison result, wherein the target medical image comprises the DICOM format file memory;
receiving a first target file and a second target file in a DICOM format returned by the artificial intelligence terminal responding to the image analysis processing result, and feeding back the first target file and the second target file to an operation user;
the first target file is an SR format file in a DICOM format, and the second target file is a GSPS format file in the DICOM format;
the step of comparing the DICOM format file memory corresponding to the target medical image with a preset memory and sending the target medical image to an artificial intelligence terminal for image analysis processing according to a comparison result comprises the following steps:
comparing the DICOM format file memory corresponding to the target medical image with the preset memory;
if the memory of the DICOM format file is less than or equal to the preset memory, transmitting the target medical image to a temporary image storage position of the artificial intelligence terminal through a network transmission protocol, and simultaneously monitoring the transmission progress in real time;
if the memory of the DICOM format file is larger than the preset memory, compressing the memory of the DICOM format file according to a preset requirement, and transmitting the compressed target medical image to a temporary image storage position of the artificial intelligence terminal through a network transmission protocol.
2. The medical image management method according to claim 1, wherein the step of acquiring a valid medical image query request sent by an operation user comprises:
when a query request of an operation user is detected, acquiring user permission of the operation user from a preset permission group;
judging whether the query request of the operating user exceeds the authority or not according to the user authority;
and if the operating user has the authority of the query request, determining the query request as an effective query request, and acquiring the effective query request.
3. A medical image management method is applied to an artificial intelligence end in a medical image management system, and is characterized in that the medical image management method comprises the following steps:
receiving a target medical image sent by an image filing and communication end in a medical image management system;
sending the target medical image to a preset analysis port, and performing image analysis processing through an analysis algorithm corresponding to the target medical image in the preset analysis port to obtain an analysis file in an XML format or a JSON format;
converting the XML format or JSON format analysis file to obtain a first target file and a second target file in DICOM format;
sending the first target file and the second target file to an image archiving and communication terminal in the medical image management system;
the step of converting the analysis file to obtain a first target file and a second target file comprises:
identifying a conversion type of the analysis file, wherein the conversion type comprises a structured report type and a gray-level soft copy display state type;
if the conversion type is the structured report type, generating a portable document format file according to the analysis file, wherein the generation of the portable document format file according to the analysis file is to use the analysis file as report data content and import the report data content into a preset report template generation library to generate the portable document format file;
importing the portable document format file into a preset structured report conversion library for conversion processing to obtain the first target file after conversion processing;
if the conversion type is a gray level soft copy display state type, importing the analysis file into a preset gray level soft copy display state conversion library for conversion processing to obtain a second target file after conversion processing;
the identifying the conversion type of the analysis file comprises:
and acquiring format file identification information from a preset data table, and identifying and analyzing a conversion type corresponding to the file through the format file identification information.
4. The medical image management method according to claim 3, wherein the step of sending the target medical image to a predetermined analysis port for image analysis processing to obtain an analysis file comprises:
matching type information corresponding to the target medical image with algorithm identification information in a preset analysis port;
if the type information is the same as the algorithm identification information, an analysis algorithm corresponding to the algorithm identification information is obtained to analyze and process the target medical image, and an analysis file is obtained.
5. The medical image management method according to claim 4, wherein after the step of matching the type information corresponding to the target medical image with the algorithm identification information in a preset analysis port, the medical image management method further comprises:
if the type information is different from the algorithm identification information, the type information and the corresponding target medical image are sent to a target user;
and acquiring a processing file fed back by the target user, and determining the processing file as the analysis file.
6. A medical image management apparatus, comprising an image archiving and communication terminal, the image archiving and communication terminal comprising:
the request acquisition module is used for acquiring an effective medical image query request sent by an operation user;
the image acquisition module is used for acquiring a target medical image from an image database according to the effective medical image query request;
the first sending module is used for comparing a DICOM format file memory corresponding to the target medical image with a preset memory and sending the target medical image to an artificial intelligence terminal for image analysis and processing according to a comparison result, wherein the target medical image comprises the DICOM format file memory;
the first receiving module is used for receiving a first target file and a second target file in a DICOM format returned by the artificial intelligence terminal responding to the image analysis processing result and feeding back the first target file and the second target file to an operation user;
the first target file is an SR format file in a DICOM format, and the second target file is a GSPS format file in the DICOM format;
the first sending module is specifically configured to:
comparing the DICOM format file memory corresponding to the target medical image with the preset memory;
if the memory of the DICOM format file is less than or equal to a preset memory, transmitting the target medical image to a temporary image storage position of an artificial intelligence end through a network transmission protocol, and simultaneously monitoring the transmission progress in real time;
if the memory of the DICOM format file is larger than the preset memory, compressing the memory of the DICOM format file according to a preset requirement, and transmitting the compressed target medical image to a temporary image storage position of an artificial intelligence end through a network transmission protocol.
7. A medical image management apparatus, the medical image management apparatus comprising an artificial intelligence terminal, the artificial intelligence terminal comprising:
the second receiving module is used for receiving the target medical image sent by the image archiving and communication end in the medical image management system;
the analysis module is used for sending the target medical image to a preset analysis port, and performing image analysis processing through an analysis algorithm corresponding to the target medical image in the preset analysis port to obtain an analysis file in an XML format or a JSON format;
the conversion module is used for converting the XML format or JSON format analysis file to obtain a first target file and a second target file in DICOM format;
the second sending module is used for sending the first target file and the second target file to an image archiving and communication terminal in the medical image management system;
the conversion module specifically comprises:
the identification submodule is used for identifying the conversion type of the analysis file, wherein the conversion type comprises a structured report type and a gray soft copy display state type;
the first type submodule is used for generating a portable document format file according to the analysis file if the conversion type is the structured report type;
the first conversion submodule is used for importing the portable document format file into a preset structured report conversion library for conversion processing to obtain a first target file after conversion processing;
the second type submodule is used for importing the analysis file into a preset gray level soft copy display state conversion library for conversion processing if the conversion type is a gray level soft copy display state type, so as to obtain a second target file after the conversion processing;
the identification submodule is specifically configured to:
and acquiring format file identification information from a preset data table, and identifying and analyzing a conversion type corresponding to the file through the format file identification information.
8. A medical image management system is characterized by comprising an image filing and communication end and an artificial intelligence end connected with the image filing and communication end;
the image archiving and communication terminal comprises a first memory and a first processor, the first memory having stored therein a medical image management program, the medical image management program when executed by the first processor implementing the method steps of any one of claims 1 to 2;
the artificial intelligence terminal comprises a second memory and a second processor, the second memory having stored therein a medical image management program, the medical image management program when executed by the second processor implementing the method steps of any of claims 3 to 5.
9. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of a medical image management method according to any one of claims 1 to 2, or which, when being executed by a processor, carries out the steps of a medical image management method according to any one of claims 3 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910426710.3A CN110335667B (en) | 2019-05-22 | 2019-05-22 | Medical image management method, device, system and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910426710.3A CN110335667B (en) | 2019-05-22 | 2019-05-22 | Medical image management method, device, system and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110335667A CN110335667A (en) | 2019-10-15 |
| CN110335667B true CN110335667B (en) | 2021-01-01 |
Family
ID=68139041
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910426710.3A Active CN110335667B (en) | 2019-05-22 | 2019-05-22 | Medical image management method, device, system and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110335667B (en) |
Families Citing this family (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111223554A (en) * | 2019-12-26 | 2020-06-02 | 四川大学华西医院 | Intelligent AI PACS system and its checking report information processing method |
| CN111180051A (en) * | 2019-12-31 | 2020-05-19 | 健康蓝图(北京)科技有限公司 | Medical image data processing method and device |
| CN111883233A (en) * | 2020-07-14 | 2020-11-03 | 上海商汤智能科技有限公司 | Image acquisition method and device, electronic equipment and storage medium |
| CN112259198A (en) * | 2020-10-21 | 2021-01-22 | 上海市同仁医院 | Medical image data management system and method |
| CN112527891B (en) * | 2020-11-24 | 2022-06-03 | 武汉联影医疗科技有限公司 | Data storage method, device, equipment and storage medium |
| CN113407841B (en) * | 2021-06-25 | 2023-04-28 | 陈亮 | Method and system for automatically recommending AI (automatic indicator) scheme based on performance analysis of structured report |
| CN113761246A (en) * | 2021-09-06 | 2021-12-07 | 北京金山云网络技术有限公司 | Data acquisition method and device, electronic equipment and storage medium |
| CN114253473A (en) * | 2021-11-30 | 2022-03-29 | 海南大学 | Data processing method and device and medical equipment |
| CN114360693A (en) * | 2021-12-16 | 2022-04-15 | 四川大学华西医院 | Monitoring method and device of medical image processing system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104331298A (en) * | 2013-07-22 | 2015-02-04 | 蓝网科技有限公司 | Method for generating medical DICOM image |
| CN107863140A (en) * | 2017-11-06 | 2018-03-30 | 贵阳朗玛信息技术股份有限公司 | The processing method and processing device of DICOM file |
| CN108665963A (en) * | 2018-05-15 | 2018-10-16 | 上海商汤智能科技有限公司 | A kind of image data analysis method and relevant device |
| CN109346158A (en) * | 2018-09-30 | 2019-02-15 | 浙江格林蓝德信息技术有限公司 | Ultrasonic image processing method, computer equipment and readable storage medium storing program for executing |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107578808A (en) * | 2017-09-06 | 2018-01-12 | 上海联影医疗科技有限公司 | Image data analysis method, cloud system and Cloud Server based on medical cloud system |
| CN108962355A (en) * | 2018-07-06 | 2018-12-07 | 腾讯科技（深圳）有限公司 | A kind of association display methods, device and service equipment, the storage medium of image |
-
2019
- 2019-05-22 CN CN201910426710.3A patent/CN110335667B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104331298A (en) * | 2013-07-22 | 2015-02-04 | 蓝网科技有限公司 | Method for generating medical DICOM image |
| CN107863140A (en) * | 2017-11-06 | 2018-03-30 | 贵阳朗玛信息技术股份有限公司 | The processing method and processing device of DICOM file |
| CN108665963A (en) * | 2018-05-15 | 2018-10-16 | 上海商汤智能科技有限公司 | A kind of image data analysis method and relevant device |
| CN109346158A (en) * | 2018-09-30 | 2019-02-15 | 浙江格林蓝德信息技术有限公司 | Ultrasonic image processing method, computer equipment and readable storage medium storing program for executing |
Non-Patent Citations (2)
| Title |
|---|
| DICOM灰阶图像软拷贝快速标准化显示方法;孙安玉 等;《中国医学影像技术》;20111231;第27卷(第3期);第599-604页 * |
| PACS与人工智能辅助诊断的集成应用;赵一鸣 等;《中国数字医学》;20181231;第13卷(第4期);第20-22页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110335667A (en) | 2019-10-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110335667B (en) | Medical image management method, device, system and storage medium | |
| US11328365B2 (en) | Systems and methods for insurance fraud detection | |
| US8638997B2 (en) | Methods and systems for medical image processing, retrieval, and reviewing | |
| US20090192813A1 (en) | Information transfer through optical character recognition | |
| US20180288040A1 (en) | System and Method for Biometric Authentication-Based Electronic Notary Public | |
| WO2012081649A1 (en) | Medical system | |
| US20140215301A1 (en) | Document template auto discovery | |
| CN109522705B (en) | Authority management method, device, electronic equipment and medium | |
| US9372916B2 (en) | Document template auto discovery | |
| CN112434095A (en) | Data acquisition system, method, electronic device and computer readable medium | |
| CN110458184B (en) | Optical character recognition assistance method, device, computer equipment and storage medium | |
| JP6683934B2 (en) | Remote interpretation system, control method thereof, information processing device, and program | |
| CN112465172A (en) | Hospital intelligent treatment method and device | |
| CN111863178A (en) | Method, device, medium and electronic device for issuing medical report | |
| CN112966304B (en) | Tamper-proof method and device for flow document, computer equipment and medium | |
| KR101771956B1 (en) | One-Click Platform based Intelligent integrated automation systems for public services, and method thereof | |
| CN112560062A (en) | Anti-counterfeiting method and device for prescription signature, electronic equipment and storage medium | |
| US20080107308A1 (en) | Medical biometric identification security system | |
| US20140297321A1 (en) | Method and apparatus for mapping message data | |
| WO2022070353A1 (en) | Information processing system, information processing method, and program | |
| CN110580939B (en) | Method and system for providing a second medical data record | |
| CN111144526B (en) | Method and device for realizing maintenance and verification of data based on two-dimension code | |
| CN113096759A (en) | Method, apparatus, computer device and storage medium for claiming birth medicine certification | |
| CN111833165A (en) | Expenditure budget management system, device and medium | |
| KR101837848B1 (en) | Method of noticing emergency medical image readig |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |