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

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:English
Published: IEEE 2021-01-01
Series:IEEE Access
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)
Online Access:https://ieeexplore.ieee.org/document/9605633/

Internet

https://ieeexplore.ieee.org/document/9605633/

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