Detecting diabetic retinopathy using a hybrid ensemble XL machine model with dual weighted-Kernel ELM and improved mayfly optimization

Author:

Anitha KORCID,Shanmuga Prabha P,Sashi Rekha K,Vigilson Prem M,Jegan Amarnath J

Publisher

Elsevier BV

Reference30 articles.

1. A novel automated komodo Mlipir optimization-based attention BiLSTM for early detection of diabetic retinopathy;Abirami;Signal Image and Video Processing,2023

2. Diabetic retinopathy detection through deep learning techniques: A review;Alyoubi;Informatics in Medicine Unlocked,2020

3. Diabetic retinopathy detection and classification using mixed models for a disease grading database;Bilal;IEEE Access,2021

4. Multi-channel convolutions neural network based diabetic retinopathy detection from fundus images;Butt;Procedia Computer Science,2019

5. Ensemble of multi-stage deep convolutional neural networks for automated grading of diabetic retinopathy using image patches;Deepa;Journal of King Saud University-Computer and Information Sciences,2022

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