Diabetic retinopathy classification method and device based on a graph network

A technology of diabetic retinopathy and classification method, which is applied in the field of diabetic retinopathy classification method and device, and can solve problems such as lack of interpretability, time-consuming and labor-intensive, hindering application, etc.

Inactive Publication Date: 2019-05-24
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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Problems solved by technology

However, there are several problems in fundus screening at present: 1. In clinical practice, doctors need to analyze and process a large amount of data, and the judgment of manual film reading depends on the doctor's personal experience, which is time-consuming and labor-intensive; Third, although

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  • Diabetic retinopathy classification method and device based on a graph network
  • Diabetic retinopathy classification method and device based on a graph network
  • Diabetic retinopathy classification method and device based on a graph network

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Embodiment Construction

[0029] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

[0030] In order to illustrate the technical solutions of the present invention, specific examples are used below to illustrate.

[0031] The embodiment of the invention discloses a graph network-based diabetic retinopathy classification method and device. see figure 1 , figure 1 It shows a schematic flowchart of the graph network-based diabetic retinopathy classification method provided by the ...

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Abstract

The invention belongs to the technical field of medical image processing, and discloses a diabetic retinopathy classification method and device based on a graph network. The diabetic retinopathy classification method based on the graph network comprises the steps of acquiring a preset number of fundus color images and subjecting the fundus color images to normalization preprocessing to serve as normalization images; constructing a graph structure by using the normalized image, and carrying out feature extraction on the graph structure to obtain to-be-processed data; and constructing a convolutional neural network model, and carrying out convolutional neural network training on the to-be-processed data to obtain a diabetic retinopathy grade classification model. Graphic data are structured,and classification of fundus color images is realized through a graph structure analysis algorithm in combination with a convolutional neural network model and through automatic film reading of a computer.

Description

technical field [0001] The invention belongs to the technical field of medical image processing, and in particular relates to a graph network-based diabetic retinopathy classification method and device. Background technique [0002] Diabetic retinopathy is a fundus lesion with specific changes and is one of the most common and serious complications of diabetes. Regular fundus screening for diabetic patients and early treatment after discovery can greatly reduce the incidence of blindness. Regular fundus screening for diabetic patients can prevent the occurrence of vision loss caused by diabetes and greatly reduce the incidence of blindness. However, there are several problems in fundus screening at present: 1. In clinical practice, doctors need to analyze and process a large amount of data, and the judgment of manual film reading depends on the doctor's personal experience, which is time-consuming and labor-intensive; Third, although the traditional deep learning method fo...

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Application Information

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IPC IPC(8): G06K9/62
Inventor 邹浩刘磊秦文健谢耀钦
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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