CN106709224A - Diabetic retinopathy diagnosis system and method - Google Patents
Diabetic retinopathy diagnosis system and method Download PDFInfo
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- CN106709224A CN106709224A CN201510460586.4A CN201510460586A CN106709224A CN 106709224 A CN106709224 A CN 106709224A CN 201510460586 A CN201510460586 A CN 201510460586A CN 106709224 A CN106709224 A CN 106709224A
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Abstract
The invention provides a diabetic retinopathy diagnosis system and method. The diagnosis system comprises a mobile terminal and a remote server, wherein the mobile terminal comprises an application (APP) and a communication module; the APP comprises a registration module, an image acquisition module and a storage module; the registration module is used for registering a user and collecting user information; the image acquisition module is used for acquiring image data; the storage module is used for storing the data; the communication module is used for transmitting the data; the remote server comprises an image identification module and a database; the image identification module is used for processing the data and returning diagnosis data; and the database is used for managing data about diabetic retinopathy. According to the diabetic retinopathy diagnosis system and method provided by the invention, the user can diagnose the diabetic retinopathy on the mobile terminal and obtain corresponding treatment suggestions. The diabetic retinopathy diagnosis system and method is mainly used for convenience-for-people diagnosis and intervention treatment and research of the diabetic retinopathy.
Description
Technical field
The present invention relates to medical research field, more particularly to diagnosis and the therapeutic intervention research of a kind of diabetic retinopathy method.
Background technology
In recent years, digital fundus photography has become the important tool of diabetic retinopathy clinical examination and research, but needs the professional with professional knowledge to be operated in given place, without good popularization.
Fundus photograph grading diagnosis standard also provides reliable theoretical foundation using the grade scale of the international Society of Ophthalmology diabetic retinopathy order of severity to the diagnostic method；Long-range ophthalmology based on digitizing retinal images also shows that the huge prospect for improving diabetic retinopathy recall rate.
With the research and application of mobile terminal network information exchange, and database network technology is gradually ripe, and relying on the remote diagnosis of the diabetic retinopathy of mobile terminal also has feasibility very high.
The content of the invention
Present invention solves the technical problem that being to provide the diagnostic system and method for a kind of diabetic retinopathy, the diagnostic system and method can realize that user carries out the autonomous diagnosis of diabetic retinopathy by mobile terminal；
In order to solve the above technical problems, the present invention provides the diagnostic system and method for a kind of diabetic retinopathy, the diagnostic system includes：Mobile terminal and far-end server；The mobile terminal includes that, using APP and communication module, the far-end server includes picture recognition module and database；
The application APP includes Registering modules, image collection module and memory module；The communication module is used to transmit the user data or receives the diagnostic result data that the far-end server is returned；The primary data that described image identification module is used in user data and the database of mobile terminal transmission described in comparative analysis；The database is used to manage the primary data on diabetic retinopathy.The Registering modules are used for user's registration and Collection and conservation user profile；Described image acquisition module is used to obtain the view data of user；The memory module is used for the diagnostic result data that storage image data and far-end server are returned；
The present invention also provides a kind of diagnostic method of diabetic retinopathy, and the method comprises the following steps：（1）User carries out network communication using the mobile terminal；（2）The mobile terminal downloads the application APP；（3）User is registered by the Registering modules of the application APP；（4）Described image acquisition module carries out acquisition view data of taking pictures to user's retina；（5）The memory module is stored to the acquisition view data；（6）Described image acquisition module is compressed to described image data with undistorted compress mode；（7）The acquisition view data compressed is sent to far-end server by the mobile terminal by the communication module；（8）The far-end server receives the acquisition view data compressed transmitted by the communication module, the acquisition view data compressed is decompressed by described image identification module, the view data of the acquisition to being extracted is identified analysis, and all of symptom information data with diabetic retinopathy in the contrast database are accessed, finally export the analysis result data of the acquisition view data；（9）Described analysis result data is stored, processed, managed by the database；（10）The analysis result data is back to mobile terminal by the far-end server by the communication module；（11）The memory module preserves to the mobile terminal analysis result data that the communication module is transmitted；（12）The application APP is read the analysis result data of the memory module preservation and is shown by the mobile terminal；（13）User knows whether oneself produces diabetic retinopathy and lesion degree and treatment recommendations by analysis result data described in the acquisition for mobile terminal；（14）The application APP of the mobile terminal is timed prompting and controls treatment functions according to the analysis result data to the user for producing lesion；
Preferably, the mobile terminal has network communication function, can be conducted interviews the far-end server by network connection；
Preferably, the mobile terminal includes installing the smart mobile phone and panel computer with camera function of APP；
Preferably, described Registering modules need individual's real information such as address name, sex, age, identification card number；
Preferably, described picture recognition module has image real time transfer function, and with the function of all data of reading database；
Preferably, described database has all of symptom information data of diabetic retinopathy；
Preferably, described image collection module is compressed using undistorted compression of images mode to described view data；
Preferably, primary data to the data for being accessed that described image identification module will be accessed in the database are consistent with the described acquisition view data being extracted contrast；
The beneficial effects of the present invention are:
System and method disclosed in this invention, the autonomous diagnosis of diabetic retinopathy that user can carry out at any time by the system, facilitate medical expert to study collecting sample to diabetic retinopathy simultaneously, improve citizen and the attention of diabetic retinopathy and prevention are illustrated.
Brief description of the drawings
Fig. 1 is a kind of schematic diagram of the diagnostic system of diabetic retinopathy of the invention；
Fig. 2 is a kind of flow chart of the diagnostic method of diabetic retinopathy of the invention.
Specific embodiment
The diagnostic system and method for a kind of diabetic retinopathy, the diagnostic system include：Mobile terminal and far-end server；The mobile terminal includes that, using APP and communication module, the far-end server includes picture recognition module and database, and the application APP includes Registering modules, image collection module and memory module, and the method comprises the following steps：
Step 1：The mobile terminal downloads the application APP；
Step 2：User is registered by the Registering modules of the application APP；
Step 3：Described image acquisition module carries out acquisition view data of taking pictures to user's retina；
Step 4：The memory module is stored to the acquisition view data；
Step 5：Described image acquisition module is compressed to described image data with undistorted compress mode；
Step 6：The acquisition view data compressed is sent to far-end server by the mobile terminal by the communication module；
Step 7：The far-end server receives the acquisition view data compressed transmitted by the communication module, the acquisition view data compressed is decompressed by described image identification module, the view data of the acquisition to being extracted is identified analysis, and all of symptom information data with diabetic retinopathy in the contrast database are accessed, finally export the analysis result data of the acquisition view data；
Step 8：Described analysis result data is stored, processed, managed by the database；
Step 9：The analysis result data is back to mobile terminal by the far-end server by the communication module；
Step 10：Whether the application APP reads the analysis result data and is shown to user by the mobile terminal, informs produce diabetic retinopathy and lesion degree and treatment recommendations；
Step 11：The application APP of the mobile terminal is timed prompting and controls treatment functions according to the analysis result data to the user for producing lesion.
Claims (10)
1. a kind of diagnostic system and method for diabetic retinopathy, the diagnostic system includes：Mobile terminal and far-end server；The mobile terminal includes that, using APP and communication module, the far-end server includes picture recognition module and database；
It is characterized in that：
The application APP includes Registering modules, image collection module and memory module；
The communication module is used to transmit the user data or receives the diagnostic result data that the far-end server is returned；
Described image identification module is used to process the user data of the mobile terminal transmission；
The database is used to manage the primary data on diabetic retinopathy.
2. application APP according to claim 1, including Registering modules, image collection module and memory module；
It is characterized in that：
The Registering modules are used for user's registration and Collection and conservation user profile；
Described image acquisition module is used to obtain the view data of user；
The memory module is used to store the diagnostic result data that the view data and the far-end server of the user are returned.
3. the diagnostic system and method for a kind of diabetic retinopathy according to claim 1, it is characterised in that：The mobile terminal can access the far-end server by network connection.
4. application APP according to claim 2, it is characterised in that：The mobile terminal has camera function, can use the application APP, including smart mobile phone and panel computer.
5. APP is applied according to claim 2, it is characterised in that：Described Registering modules need individual's real information such as address name, sex, age, identification card number.
6. far-end server according to claim 1, it is characterised in that：Described picture recognition module has image real time transfer and accesses the function of the database.
7. far-end server according to claim 1, it is characterised in that：Described database has all of symptom information data of diabetic retinopathy.
8. system according to claim 6, it is characterised in that：Described image collection module is compressed using undistorted compression of images mode to described view data.
9. a kind of diagnostic system and method for diabetic retinopathy, the diagnostic system includes：Mobile terminal and far-end server；The mobile terminal includes that, using APP and communication module, the far-end server includes picture recognition module and database, and the application APP includes Registering modules, image collection module and memory module, and the method comprises the following steps：
Step 1：The mobile terminal downloads the application APP；
Step 2：User is registered by the Registering modules of the application APP；
Step 3：Described image acquisition module carries out acquisition view data of taking pictures to user's retina；
Step 4：The memory module is stored to the acquisition view data；
Step 5：Described image acquisition module is compressed to described image data with undistorted compress mode；
Step 6：The acquisition view data compressed is sent to far-end server by the mobile terminal by the communication module；
Step 7：The far-end server receives the acquisition view data compressed transmitted by the communication module, the acquisition view data compressed is decompressed by described image identification module, the view data of the acquisition to being extracted is identified analysis, and all of symptom information data with diabetic retinopathy in the contrast database are accessed, finally export the analysis result data of the acquisition view data；
Step 8：Described analysis result data is stored, processed, managed by the database；
Step 9：The analysis result data is back to mobile terminal by the far-end server by the communication module；
Step 10：Whether the application APP reads the analysis result data and is shown to user by the mobile terminal, informs produce diabetic retinopathy and lesion degree and treatment recommendations；
Step 11：The application APP of the mobile terminal is timed prompting and controls treatment functions according to the analysis result data to the user for producing lesion.
10. method according to claim 9, it is characterised in that：Primary data to the data for being accessed that described image identification module will be accessed in the database are consistent with the described acquisition view data being extracted contrast.
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| CN201510460586.4A CN106709224A (en) | 2015-07-31 | 2015-07-31 | Diabetic retinopathy diagnosis system and method |
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| CN201510460586.4A CN106709224A (en) | 2015-07-31 | 2015-07-31 | Diabetic retinopathy diagnosis system and method |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108717870A (en) * | 2018-05-18 | 2018-10-30 | 东莞市名道市场营销策划有限公司 | A kind of disease remote diagnosis system |
| CN109598294A (en) * | 2018-11-23 | 2019-04-09 | 哈尔滨工程大学 | Cloud retina OCT identification intelligent diagnostic system and its application method based on hardware and software platform |
| CN111091566A (en) * | 2020-02-04 | 2020-05-01 | 浙江省人民医院 | Diabetic complication retinopathy data detection method |
| TWI837702B (en) * | 2022-06-14 | 2024-04-01 | 宏碁智醫股份有限公司 | Electronic device and method of recommending return appointment for age-related macular degeneration |
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| CN202537482U (en) * | 2012-03-28 | 2012-11-21 | 福州大学 | Eye-ground photographic device applied to screening diabetic retinopathy |
| CN103458772A (en) * | 2011-04-07 | 2013-12-18 | 香港中文大学 | Method and device for retinal image analysis |
| CN103716505A (en) * | 2012-09-28 | 2014-04-09 | 北京蒙恬科技有限公司 | Image recognition system and method |
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Patent Citations (4)
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| CN102073849A (en) * | 2010-08-06 | 2011-05-25 | 中国科学院自动化研究所 | Target image identification system and method |
| CN103458772A (en) * | 2011-04-07 | 2013-12-18 | 香港中文大学 | Method and device for retinal image analysis |
| CN202537482U (en) * | 2012-03-28 | 2012-11-21 | 福州大学 | Eye-ground photographic device applied to screening diabetic retinopathy |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108717870A (en) * | 2018-05-18 | 2018-10-30 | 东莞市名道市场营销策划有限公司 | A kind of disease remote diagnosis system |
| CN109598294A (en) * | 2018-11-23 | 2019-04-09 | 哈尔滨工程大学 | Cloud retina OCT identification intelligent diagnostic system and its application method based on hardware and software platform |
| CN109598294B (en) * | 2018-11-23 | 2023-06-13 | 哈尔滨工程大学 | Cloud retina OCT (optical coherence tomography) identification intelligent diagnosis system based on software and hardware platform and application method thereof |
| CN111091566A (en) * | 2020-02-04 | 2020-05-01 | 浙江省人民医院 | Diabetic complication retinopathy data detection method |
| TWI837702B (en) * | 2022-06-14 | 2024-04-01 | 宏碁智醫股份有限公司 | Electronic device and method of recommending return appointment for age-related macular degeneration |
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Application publication date: 20170524 |