Short Survey on machine learning techniques used for diabetic retinopathy detection

被引：2

作者：

Mishra, Anju ^{[1
]}

Singh, Laxman ^{[2
]}

Pandey, Mrinal ^{[1
]}

机构：

[1] Manav Rachna Univ, Dept Comp Sci, Faridabad, India

[2] NIET, Dept Elect & Commun, Greater Noida, India

来源：

2021 IEEE INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION, AND INTELLIGENT SYSTEMS (ICCCIS) | 2021年

关键词：

Diabetic Retinopathy (DR); Microaneurysms (MA); Haemorrhages (HE);

D O I：

10.1109/ICCCIS51004.2021.9397142

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Diabetic retinopathy (DR) is an eye infirmity which can make the visual impedance the patients. Around the age 50 onwards, the person can suffer from this disease. When the blood vessels in the tissue at the rear of the eye (retina) got damage then DR gets triggered. DR can be detected through retinal fundus images, examined by ophthalmologist. We can use machine learning techniques to diagnose DR. If it can be detected in the early stage, then the patient can be saved from vision loss or eye impairment. In this paper, we will perform survey on machine learning techniques used for detection of DR. This paper will help to diagnose DR in early stage.

引用

页码：601 / 606

页数：6

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