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Diabetes classification method and device based on fundus images

A fundus image and diabetes technology, which is applied in the field of medical image analysis, can solve problems that are not suitable for single disease classification, and achieve the effects of strong convenience and stability, cost reduction, and accurate classification results

Inactive Publication Date: 2020-04-17
BEIJING AIRDOC TECH CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This solution is suitable for identifying multiple diseases at the same time, such as detecting whether the fundus image has glaucoma, macular hole, diabetes and other potentially irrelevant disease characteristics to obtain the corresponding classification, and is not suitable for the classification of a single disease

Method used

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  • Diabetes classification method and device based on fundus images
  • Diabetes classification method and device based on fundus images
  • Diabetes classification method and device based on fundus images

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Embodiment Construction

[0031] The technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Apparently, the described embodiments are part of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0032] In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as there is no conflict with each other.

[0033] An embodiment of the present invention provides a method for constructing a diabetes classification model, which involves a machine learning model, such as figure 1 The model shown includes a feature extraction network 11 and a number of output networks 12 . The network described in this application r...

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Abstract

The invention provides a diabetes classification method and device based on a fundus image. The method comprises the steps that of acquriing fundus image of a user and identifying the fundus image byusing a machine learning model, and at least outputting a diabetes classification result. According to the machine learning model provided by the invention, various diabetes related information is introduced in the training process to optimize the classification performance. The used sample data comprises a fundus image, multiple pieces of diabetes related information and diabetes type information, and the model adjusts self parameters according to the output evaluation result and the multiple pieces of diabetes related information and diabetes type information in the sample data in the training process, so that the output classification result is more accurate.

Description

technical field [0001] The invention relates to the field of medical image analysis, in particular to a diabetes classification method and equipment based on fundus images. Background technique [0002] In recent years, machine learning technology has been widely used in the medical field, especially machine learning technology represented by deep learning has attracted widespread attention in the field of medical imaging. In terms of fundus image detection, deep learning technology can detect a certain feature of fundus images more accurately. For example, a large number of fundus image samples of diabetic patients are used to train the deep learning model, and the trained model can be used to detect diabetes in fundus images. . [0003] The Chinese patent application number 201810387302.7 discloses a machine learning-based fundus image detection method. This method first detects features with a high degree of salience in the overall area of ​​the fundus image, thereby com...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/62G06N20/00
CPCG06T7/0012G06N20/00G06T2207/10004G06T2207/20081G06T2207/30041G06F18/241
Inventor 熊健皓王斌赵昕陈羽中和超张大磊
Owner BEIJING AIRDOC TECH CO LTD
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