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Eye fundus image classification device and method based on deep learning for diagnosing eye diseases

A technology of image classification and deep learning, applied in neural learning methods, diagnosis, ophthalmoscopy, etc., can solve problems such as low accuracy and time-consuming

Pending Publication Date: 2022-06-24
SOONCHUNYANG UNIV IND ACAD COOP FOUND
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, in the prior art, the technology for diagnosing eye diseases requires an expert or doctor to directly confirm the corresponding image with the naked eye for diagnosis, so there are problems of low accuracy and time-consuming

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  • Eye fundus image classification device and method based on deep learning for diagnosing eye diseases
  • Eye fundus image classification device and method based on deep learning for diagnosing eye diseases
  • Eye fundus image classification device and method based on deep learning for diagnosing eye diseases

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Embodiment Construction

[0029] The above-mentioned objects, features, and advantages can be made clear from the following detailed descriptions related to the accompanying drawings, whereby those skilled in the art to which the present invention pertains can easily implement the technical idea of ​​the present invention. Also, in describing the present invention, when it is judged that the specific description related to the well-known technology of the present invention may unnecessarily obscure the gist of the present invention, the detailed description will be omitted. Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

[0030] In the whole content of this specification, when a part "includes" another structural element, unless there is a specific description to the contrary, it means that the other structural element is also included, rather than excluding the other structural element. In addition, the term "section...

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Abstract

The invention discloses a deep learning-based fundus image classification device and method for diagnosing eye diseases. A deep learning-based fundus image classification device for diagnosing an eye disease according to one embodiment of the present invention comprises: a data preprocessing unit for normalizing image data before learning a model by preprocessing retinal fundus image data; and a retina image classification unit that classifies a retina image by training and testing the pre-processed retina fundus image data, and classifies the retina image using layered 10-fold cross validation.

Description

technical field [0001] The present invention relates to a deep learning-based fundus image classification device and method for diagnosing eye diseases, and more particularly, to a deep learning-based fundus image classification device and method for diagnosing eye diseases for automatically classifying retinal fundus diseases. Background technique [0002] Diabetic retinopathy (DR), glaucoma (GLC) and age-related macular degeneration (AMD) are among the leading causes of vision loss and blindness worldwide. Vision loss from diabetes is called diabetic retinopathy, aka DR. Most adults suffer from vision loss and blindness due to diabetic retinopathy. According to statistics, the global diabetes population growth rate from 2000 to 2030 is between 2.8% and 4.4%. That equates to about 199 million people, which is more than the 179 million people who suffered from diabetes in 2000. More than 60% of patients with type 1 diabetes and type 2 diabetes develop diabetic retinopathy...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06N3/08G16H30/40G16H50/20A61B3/14A61B3/12G06V10/764G06V10/25
CPCG06T7/0012G06N3/08G16H50/20G16H30/40A61B3/12A61B3/14G06T2207/30041G06F18/24A61B5/00A61B3/00G06T7/00A61B3/0025A61B5/7264G06T2207/20081
Inventor 南润荣
Owner SOONCHUNYANG UNIV IND ACAD COOP FOUND
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