CN116612865B - Image labeling method and system supporting all-disease labeling - Google Patents
Image labeling method and system supporting all-disease labeling Download PDFInfo
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Abstract
The application relates to the technical field of medical image processing, and discloses a method for supporting image annotation of all-disease type annotation, which comprises the steps that a platform analyzes and displays images through a dicom image format, and the platform is divided into a management end and an annotation end; the platform is provided with a dynamic form designer based on vue at a management end, generates a labeling field applicable to a subject through dragging and configuration, and stores the labeling field as a structured JSON format; after the custom label is associated with the subject, analyzing the label template at the labeling end to generate a corresponding control, and providing the control for labeling personnel to label the image. The method has the advantages that through creating perfect authority management and normalized labeling flow, labeling of all diseases is supported, labeling labels are flexibly configured, scientific research subjects are created, research types are set, storage management is conducted on dicom format image files, professional film reading and labeling tools are provided, and mask files meeting industry standards are output.
Description
Technical Field
The application relates to the technical field of medical image processing, in particular to a method and a system for supporting image annotation of all-disease type annotation.
Background
With the rapid development of economy and the improvement of living standard, people pay more attention to health problems, and the medical equipment is used for collecting human organ images nowadays, so that the medical equipment has been widely applied; the current industry has different demands for image subject research; in medical imaging, the characteristics and manifestations of different diseases are also different; therefore, the types and the labels of the required labeling focus are different, and most labeling tools cannot configure the labels required by labeling; the image data volume is large, the image data and the labeling result data are not easy to manage, and most of medical images are mainly labeled for images of a certain disease type.
Disclosure of Invention
The application mainly provides a method and a system for supporting image labeling of all-disease labeling, wherein a labeling tool cannot configure labels required by labeling; the image data volume is large, the image data and the labeling result data are not easy to manage, and most of medical images are mainly labeled for images of a certain disease type.
In order to solve the technical problems, the application adopts the following technical scheme:
in a first aspect, a method for supporting image annotation of a whole disease species, comprises,
the platform analyzes and displays the images through a dicom image format, and the platform is divided into a management end and a labeling end;
the platform is provided with a dynamic form designer based on vue at a management end, generates a labeling field applicable to a subject through dragging and configuration, and stores the labeling field as a structured JSON format; after the custom label is associated with the subject, analyzing the label template at the labeling end to generate a corresponding control, and providing the control for labeling personnel to label the image.
Further, a dynamic form designer based on vue is configured on a management end of the platform, and annotation fields applicable to the problems are generated through dragging and configuration and stored as a structural JSON format; after the custom label is associated with the topic, analyzing the label template at the labeling end to generate a corresponding control, providing the corresponding control for labeling personnel to label the image, analyzing the label template at the labeling end to generate a corresponding control, comprising,
the system comprises a performance layer, a business layer and a data layer, wherein the performance layer is communicated with interaction between a user and a platform through a Web browser, improves user experience through an element UI and is developed and expanded by matching with a Vue frame;
the presentation layer transmits the data request to the service layer through the API interface, and the service layer is responsible for processing the request generated by the user behavior in the interface presentation layer and returning the response result to the presentation layer for front-end interface rendering.
Furthermore, the business layer controls the distribution of the front-end request through Java technology, carries out JSON analysis on the data requested by the front-end, carries out business logic processing, and finally interacts with MySQL and files of the data layer.
Further, the image is analyzed and displayed on a platform through a dicom image format, the platform is divided into a management end and a labeling end, the management end comprises,
establishing a labeling field list, storing the name and description of the labeling field, and creating a new labeling field based on the labeling field list;
the annotation field design clicks a common annotation field or drags a field type control to a preview area, configures field details and drags and sorts the configuration fields, saves the fields based on the configuration field details and the annotation fields, and saves and forms a structured JSON data structure template after the design is completed.
Further, the image is analyzed and displayed on a platform through a dicom image format, the platform is divided into a management end and a labeling end, the labeling end comprises,
associating topics with annotation fields through topic management, and applying different JSON data templates to different topics, wherein the annotation fields are applied as annotation filling content when the data in the topics are annotated;
the JSON structure obtained through the back-end interface is analyzed into the content and the style required by the front-end page, the content and the style are displayed in a focus list of the labeling end, and each focus can be saved after the content of the labeling field is required to be filled;
based on the stored labeling field content, storing a complete labeling result in a database; and simultaneously generating a structured xml file, and generating a corresponding focus label in the file according to the content of the labeling field.
In a second aspect, a system for supporting image annotation of all disease types includes a platform setting module, wherein the platform setting module analyzes and displays images through a dicom image format, and the platform is divided into a management end and an annotation end;
the image annotation module is used for configuring a dynamic form designer based on vue at a management end, generating annotation fields applicable to a subject through dragging and configuration, and storing the annotation fields as a structural JSON format; after the custom label is associated with the subject, analyzing the label template at the labeling end to generate a corresponding control, and providing the control for labeling personnel to label the image.
Further, the image labeling module comprises a display module,
the presentation layer interaction unit is used for communicating interaction between a user and the platform through the Web browser, improving user experience through an element UI and developing and expanding through matching with a Vue frame;
the presentation layer transmits the data unit, the presentation layer transmits the data request to the service layer through the API interface, the service layer is responsible for processing the request generated by the user behavior in the interface presentation layer, and returns the response result to the presentation layer for front-end interface rendering.
Further, the image labeling module comprises a display module,
the business layer interaction unit is used for controlling the distribution of the front-end request by the business layer through Java technology, performing JSON analysis on the data requested by the front-end, performing business logic processing, and finally interacting with MySQL and files of the data layer.
Further, the platform setting module comprises a platform setting module,
the annotation field management unit is used for establishing an annotation field list, storing annotation field names and descriptions, and creating a new annotation field based on the annotation field list;
the annotation field design unit is used for annotating field design, clicking a common annotation field or dragging a field type control to a preview area, configuring field details, dragging and sequencing the configuration fields, saving the fields and the annotation fields based on the configuration field details, and saving after the design is completed to form a structured JSON data structure template.
Further, the platform setting module comprises a platform setting module,
a labeling field authorization unit, configured to associate a topic with a labeling field through topic management, apply different JSON data templates for different topics, and apply a current labeling field as a labeling filling content when data labeling is performed in the topic;
the marking field using unit is used for analyzing the JSON structure acquired through the back end interface into the content and the style required by the front end page, displaying the content and the style in a marking end focus list, and storing each focus after filling in the marking field content;
the marking result storage unit is used for storing a complete marking result in the database based on the stored marking field content; and simultaneously generating a structured xml file, and generating a corresponding focus label in the file according to the content of the labeling field.
The beneficial effects are that: a method and a system for supporting image annotation of all-disease type annotation support the annotation of all-disease type by creating perfect authority management and standardized annotation flow according to the image scientific research requirements of various diseases, flexibly configuring annotation labels, realizing the creation of scientific research subjects, setting research types, carrying out storage management on dicom format image files, providing professional film reading and annotation tools and outputting mask files meeting industry standards.
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FIG. 1 is a schematic diagram of a system module for image annotation supporting whole disease annotation.
Detailed Description
The following describes in further detail a method and a system for supporting image labeling of whole disease species according to embodiments.
In a first aspect, a method for supporting image annotation of a whole disease species, comprises,
the platform analyzes and displays the images through a dicom image format, and the platform is divided into a management end and a labeling end;
the platform is integrally based on a dicom image format, so that analysis and display of images are realized. The B/S architecture and MVC three-layer structure design are adopted, so that the flexibility and the high efficiency of the system are ensured; the platform is divided into a management end and a labeling end, wherein the management end realizes management functions of authority, data, subjects, label configuration and the like, and the labeling end realizes the functions of film reading and labeling.
In order to adapt to the marking of the whole disease, the platform is provided with a dynamic form designer based on vue at a management end, and a marking field applicable to a subject is generated through dragging and configuration and is stored as a structural JSON format; after the custom label is associated with the subject, analyzing the label template at the labeling end to generate a corresponding control, and providing the control for labeling personnel to label the image.
Specifically, the labeling end analyzes the label template, generates a corresponding control and comprises a presentation layer, a service layer and a data layer, wherein the presentation layer is communicated with interaction between a user and a platform through a Web browser, and improves user experience through an element UI and is developed and expanded by matching with a Vue frame;
the presentation layer transmits the data request to the service layer through the API interface, and the service layer is responsible for processing the request generated by the user behavior in the interface presentation layer and returning the response result to the presentation layer for front-end interface rendering.
Furthermore, the business layer controls the distribution of the front-end request through Java technology, carries out JSON analysis on the data requested by the front-end, carries out business logic processing, and finally interacts with MySQL and files of the data layer.
Further, the image is analyzed and displayed on a platform through a dicom image format, the platform is divided into a management end and a labeling end, the management end comprises,
establishing a labeling field list, storing the name and description of the labeling field, and creating a new labeling field based on the labeling field list;
specifically, a new annotation field is created, the annotation field name and description are stored, and the creator can view and use the annotation field created by himself. The annotation fields fall into two types: the public annotation fields are stored as public annotation fields when designed, and a quick multiplexing function is provided; the common labeling field is associated with a subject and used in labeling. An add-delete-check flow of the annotation field is provided.
The annotation field design clicks a common annotation field or drags a field type control to a preview area, configures field details and drags and sorts the configuration fields, saves the fields based on the configuration field details and the annotation fields, and saves and forms a structured JSON data structure template after the design is completed.
Specifically, clicking a common annotation field or dragging a field type control, specifically dragging a dragcable component to a preview area, the field types include four types: single-row input frame, drop-down single selection frame, drop-down multiple selection frame, digital input frame. Custom field information: name, attribute, arrangement order, display width, etc., and the structured JSON data structure template is saved after the design is completed.
Further, the image is analyzed and displayed on a platform through a dicom image format, the platform is divided into a management end and a labeling end, the labeling end comprises,
associating topics with annotation fields through topic management, and applying different JSON data templates to different topics, wherein the annotation fields are applied as annotation filling content when the data in the topics are annotated;
the JSON structure obtained through the back-end interface is analyzed into the content and the style required by the front-end page, the content and the style are displayed in a focus list of the labeling end, and each focus can be saved after the content of the labeling field is required to be filled;
based on the stored labeling field content, storing a complete labeling result in a database; and simultaneously generating a structured xml file, and generating a corresponding focus label in the file according to the content of the labeling field for subsequent scientific research.
The specific operation flow of the image labeling platform for the whole disease labeling is as follows:
the image marking platform is divided into a management end and a marking/auditing end, wherein the management end is used for creating personnel, data, marking fields and subjects, and the marking/auditing end is used for marking and exporting images by marking, auditing personnel for carrying out focus sketching measurement and the like.
An administrator logs in, the administrator logs in the platform, and the initial password is modified according to the requirement;
uploading data, namely uploading image original data on a data center page;
designing a labeling field, and adding a labeling field form in a labeling field management page;
clicking a 'design annotation field' button in a 'annotation field list', jumping to a design annotation field page, and configuring an annotation field according to the requirement of subject research;
newly adding member information, newly adding 'member information' in a member management page, newly adding 'department information' in a department management page, and newly adding 'position information' in a position management page;
creating a topic, clicking 'newly added' on a topic management page, and newly adding a topic;
data management, clicking a 'data management' button on a subject management page, jumping to the 'data management' page, and performing data grouping operation;
registering a labeling person;
and querying the data, and querying the data required to be annotated in the annotation audit list page.
Reading, namely marking an audit list page, double-clicking data in the list, and entering a reading page; marking focus on the page of the reading;
logging in by an auditor;
querying data;
and (5) reading the film, and auditing the labeling result by an auditor on the film reading page.
And generating a labeling result file, wherein the data after the auditing is completed automatically generates the result file.
And (3) exporting original data and a labeling result file, labeling the data subjected to the auditing, and downloading the file by an administrator on a 'viewing subject' page.
Referring to fig. 1, a system for supporting image annotation of whole disease species, comprising,
the platform setting module 01 analyzes and displays the images through a dicom image format, and the platform is divided into a management end and a labeling end;
specifically, the platform is integrally based on a dicom image format, so that analysis and display of images are realized. The B/S architecture and MVC three-layer structure design are adopted, so that the flexibility and the high efficiency of the system are ensured; the platform is divided into a management end and a labeling end, wherein the management end realizes management functions of authority, data, subjects, label configuration and the like, and the labeling end realizes the functions of film reading and labeling.
The image labeling module 02, the platform is configured with a dynamic form designer based on vue at the management end, generates labeling fields applicable to the subject through dragging and configuration, and stores the labeling fields as a structural JSON format; after the custom label is associated with the subject, analyzing the label template at the labeling end to generate a corresponding control, and providing the control for labeling personnel to label the image.
Further, the image labeling module 02 comprises,
the presentation layer interaction unit 08 is used for communicating interaction between a user and a platform through a Web browser, improving user experience through an element UI and developing and expanding through matching with a Vue frame;
specifically, the labeling end analyzes the label template, generates a corresponding control and comprises a presentation layer, a service layer and a data layer, wherein the presentation layer is communicated with interaction between a user and a platform through a Web browser, and improves user experience through an element UI and is developed and expanded by matching with a Vue frame;
the presentation layer transmits the data unit 09, which is used for the presentation layer to transmit the data request to the service layer through the API interface, the service layer is responsible for processing the request generated by the user behavior in the interface presentation layer, and returns the response result to the presentation layer for front-end interface rendering.
Further, the image labeling module 02 comprises,
the service layer interaction unit 10 is configured to control distribution of a front-end request by a service layer through Java technology, perform JSON analysis on data requested by the front-end request, perform service logic processing, and finally interact with MySQL and a file of the data layer.
Further, the platform setting module 01 comprises,
the labeling field management unit 03 is used for establishing a labeling field list, storing the names and descriptions of the labeling fields, and creating a new labeling field based on the labeling field list;
specifically, a new annotation field is created, the annotation field name and description are stored, and the creator can view and use the annotation field created by himself. The annotation fields fall into two types: the public annotation fields are stored as public annotation fields when designed, and a quick multiplexing function is provided; the common labeling field is associated with a subject and used in labeling. An add-delete-check flow of the annotation field is provided.
The annotation field design unit 04 is used for annotating field design, clicking a common annotation field or dragging a field type control to a preview area, configuring field details, dragging and sequencing the configuration fields, storing the fields and the annotation fields based on the configuration field details, and storing after the design is completed to form a structured JSON data structure template.
Specifically, clicking a common annotation field or dragging a field type control, specifically dragging a dragcable component to a preview area, the field types include four types: single-row input frame, drop-down single selection frame, drop-down multiple selection frame, digital input frame. Custom field information: name, attribute, arrangement order, display width, etc., and the structured JSON data structure template is saved after the design is completed.
Further, the platform setting module 01 comprises,
a labeling field authorization unit 04 for associating a question with a labeling field by question management, applying different JSON data templates to different questions, and applying the current labeling field as a labeling filling content when data labeling is performed in the questions;
the marking field using unit 06 is configured to parse the JSON structure obtained through the back-end interface into the content and the style required by the front-end page, display the content and the style in the marking-end focus list, and store each focus after filling in the marking field content;
the labeling result storage unit 07 stores a complete labeling result in the database based on the stored labeling field content; and simultaneously generating a structured xml file, and generating a corresponding focus label in the file according to the content of the labeling field.
A system supporting image annotation of all-disease labeling supports the annotation of all-disease by creating perfect authority management and standardized labeling flow according to the image scientific research requirements of various diseases, flexibly configures labeling labels, realizes the creation of scientific research subjects, sets research types, stores and manages dicom-format image files, provides professional reading and labeling tools, and outputs mask files meeting industry standards.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the functions described above. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, the specific names of the functional units and modules are only for distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
In the embodiments provided in the present disclosure, it should be understood that the disclosed apparatus/computer device and method may be implemented in other manners. For example, the apparatus/computer device embodiments described above are merely illustrative, e.g., the division of modules or elements is merely a logical functional division, and there may be additional divisions of actual implementations, multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present disclosure may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units. The integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present disclosure may implement all or part of the flow of the method of the above-described embodiments, or may be implemented by a computer program to instruct related hardware, and the computer program may be stored in a computer readable storage medium, where the computer program, when executed by a processor, may implement the steps of the method embodiments described above. The computer program may comprise computer program code, which may be in source code form, object code form, executable file or in some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the content of the computer readable medium can be appropriately increased or decreased according to the requirements of the jurisdiction's jurisdiction and the patent practice, for example, in some jurisdictions, the computer readable medium does not include electrical carrier signals and telecommunication signals according to the jurisdiction and the patent practice.
The above embodiments are merely for illustrating the technical solution of the present disclosure, and are not limiting thereof; although the present disclosure has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the disclosure, and are intended to be included in the scope of the present disclosure.
Claims (2)
1. The method for supporting the image annotation of the whole disease type annotation is characterized by comprising the steps that a platform analyzes and displays the image through a dicom image format, and the platform is divided into a management end and an annotation end; the platform is provided with a dynamic form designer based on vue at a management end, generates a labeling field applicable to a subject through dragging and configuration, and stores the labeling field as a structured JSON format; after the custom label is associated with the subject, analyzing the label template at the labeling end to generate a corresponding control, and providing the control for labeling personnel to label the image;
the label template is analyzed at the labeling end to generate a corresponding control, which comprises the following steps: the system comprises a presentation layer, a service layer and a data layer, wherein the presentation layer is communicated with interaction between a user and a platform through a Web browser, improves user experience through an element UI and is developed and expanded by matching with a vue framework; the presentation layer transmits the data request to the service layer through the API interface, the service layer is responsible for processing the request generated by the user behavior in the interface presentation layer, and returns the response result to the presentation layer for front-end interface rendering, the service layer controls the distribution of the front-end request through Java technology, carries out JSON analysis on the data requested by the front-end, carries out service logic processing, and finally interacts with MySQL and files of the data layer;
the management end establishes a labeling field list, stores the name and description of the labeling field, and establishes a new labeling field based on the labeling field list; the annotation field design clicks a common annotation field or drags a field type control to a preview area, configures field details and drags and sorts the configuration fields, saves the fields based on the configuration field details and the annotation fields, and saves the JSON data structure template after the design is completed;
the labeling end associates a subject with a labeling field through subject management, and applies different JSON data templates to different subjects, wherein the labeling field is used as labeling filling content when data in the subject are labeled; the JSON structure obtained through the back-end interface is analyzed into the content and the style required by the front-end page, the content and the style are displayed in a focus list of the labeling end, and each focus is saved after filling in the content of the labeling field; based on the stored labeling field content, storing a complete labeling result in a database; and simultaneously generating a structured xml file, and generating a corresponding focus label in the file according to the content of the labeling field.
2. The system for supporting the image annotation of the whole disease type annotation is characterized by comprising a platform setting module, wherein the platform setting module analyzes and displays images through a dicom image format, and the platform is divided into a management end and an annotation end; the image annotation module is used for configuring a dynamic form designer based on vue at a management end, generating annotation fields applicable to a subject through dragging and configuration, and storing the annotation fields as a structural JSON format; after the custom label is associated with the subject, analyzing the label template at the labeling end to generate a corresponding control, and providing the control for labeling personnel to label the image;
wherein, the image annotation module includes: the presentation layer interaction unit is used for communicating interaction between a user and a platform through a Web browser, improving user experience through an element UI and developing and expanding through matching with a vue framework; the presentation layer transmits a data unit, the presentation layer transmits a data request to the service layer through an API interface, the service layer is responsible for processing a request generated by user behaviors in the interface presentation layer, and a response result is returned to the presentation layer for front-end interface rendering; the business layer interaction unit is used for controlling the distribution of the front-end request by the business layer through Java technology, performing JSON analysis on the data requested by the front-end, performing business logic processing, and finally interacting with MySQL and files of the data layer;
wherein, the platform setting module includes: the annotation field management unit is used for establishing an annotation field list, storing annotation field names and descriptions, and creating a new annotation field based on the annotation field list; the annotation field design unit is used for annotating field design, clicking a common annotation field or dragging a field type control to a preview area, configuring field details, dragging and sequencing the configuration fields, saving the fields and the annotation fields based on the configuration field details, and saving after the design is completed to form a structured JSON data structure template; a labeling field authorization unit, configured to associate a topic with a labeling field through topic management, apply different JSON data templates for different topics, and apply a current labeling field as a labeling filling content when data labeling is performed in the topic; the marking field using unit is used for analyzing the JSON structure acquired through the back end interface into the content and the style required by the front end page, displaying the content and the style in a marking end focus list, and storing each focus after filling in the marking field content; the marking result storage unit is used for storing a complete marking result in the database based on the stored marking field content; and simultaneously generating a structured xml file, and generating a corresponding focus label in the file according to the content of the labeling field.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110347649A (en) * | 2019-07-15 | 2019-10-18 | 城云科技（中国）有限公司 | A kind of method and system that Office document can be shared based on Web and marked in real time |
| CN111767057A (en) * | 2020-06-29 | 2020-10-13 | 京东城市(北京)数字科技有限公司 | Data processing method and device |
| CN114911775A (en) * | 2022-06-16 | 2022-08-16 | 山东志盈医学科技有限公司 | Method and system for configuring and storing dynamic form and field |
| CA3150102A1 (en) * | 2021-02-24 | 2022-08-24 | Think Research Corporation | Systems, methods and devices for structured dynamic electronic forms |
| CN115827803A (en) * | 2022-08-12 | 2023-03-21 | 中国地质大学（北京） | Data display method and device, terminal equipment and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110347649A (en) * | 2019-07-15 | 2019-10-18 | 城云科技（中国）有限公司 | A kind of method and system that Office document can be shared based on Web and marked in real time |
| CN111767057A (en) * | 2020-06-29 | 2020-10-13 | 京东城市(北京)数字科技有限公司 | Data processing method and device |
| CA3150102A1 (en) * | 2021-02-24 | 2022-08-24 | Think Research Corporation | Systems, methods and devices for structured dynamic electronic forms |
| CN114911775A (en) * | 2022-06-16 | 2022-08-16 | 山东志盈医学科技有限公司 | Method and system for configuring and storing dynamic form and field |
| CN115827803A (en) * | 2022-08-12 | 2023-03-21 | 中国地质大学（北京） | Data display method and device, terminal equipment and storage medium |
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