Diabetic Retinopathy Detection from Fundus Images Using Machine Learning Techniques : A Review

被引：0
|
作者：
Anoop Balakrishnan Kadan
Perumal Sankar Subbian
机构：
[1] Srinivas Institute of Technology,AIML Department
[2] Toch Institute of Science and Technology,ECE Department
来源：
Wireless Personal Communications | 2021年 / 121卷
关键词：
Exudates; Diabetic retinopathy; Machine learning; CNN; SVM; Neural networks;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Diabetic retinopathy is one of the leading causes of blindness in today’s world. One of the major causes of Diabetic retinopathy is diabetes and also this occurs due to hereditary reasons. DR is classified into proliferative, non-proliferative and diabetic maculopathy. This paper approaches to one of the signs of non-proliferative DR called as exudates (commonly called hard exudates) and several methods which is introduced to detect them in retina. The work includes the algorithms, outcomes, datasets used and other results related with it. The results are compared by tabulating the evaluations and procedures.
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页码：2199 / 2212
页数：13
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