Hybrid CNN-SVD Based Prominent Feature Extraction and Selection for Grading Diabetic Retinopathy Using Extreme Learning Machine Algorithm

This paper exploits the extreme learning machine (ELM) approach to address diabetic retinopathy (DR), a medical condition in which impairment occurs to the retina caused by diabetes. DR, a leading cause of blindness worldwide, is a sort of swelling leakage due to excessive blood sugar in the retina...

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Bibliographic Details
Main Authors:	Md. Nahiduzzaman, Md. Robiul Islam, S. M. Riazul Islam, Md. Omaer Faruq Goni, Md. Shamim Anower, Kyung-Sup Kwak
Format:	article
Language:	EN
Published:	IEEE 2021
Subjects:	Ben Graham’s pre-processing contrast limited adaptive histogram equalization (CLAHE) convolutional neural network-singular value decomposition (CNN-SVD) diabetic retinopathy (DR) extreme learning machine (ELM) Electrical engineering. Electronics. Nuclear engineering TK1-9971
Online Access:	https://doaj.org/article/bd326b8c15104142953d12d645ba0f7f
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Hybrid CNN-SVD Based Prominent Feature Extraction and Selection for Grading Diabetic Retinopathy Using Extreme Learning Machine Algorithm

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