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

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 o...

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Bibliographic Details
Published inWireless personal communications Vol. 121; no. 3; pp. 2199 - 2212
Main Authors Kadan, Anoop Balakrishnan, Subbian, Perumal Sankar
Format Journal Article
LanguageEnglish
Published New York Springer US 2021
Springer Nature B.V
Subjects
Algorithms
Blindness
Communications Engineering
Computer Communication Networks
Diabetes
Diabetic retinopathy
Engineering
Exudation
Machine learning
Networks
Signal,Image and Speech Processing
Exudates
Diabetic retinopathy
CNN
SVM
Neural networks
Machine learning
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Summary: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.
ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-021-08817-1