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What is Hybrid CNN-Grading Retinopathy ELM about?

This paper presents a novel method for diagnosing diabetic retinopathy (DR) using a hybrid convolutional neural network-singular value decomposition (CNN-SVD) model combined with an extreme learning machine (ELM) algorithm. The proposed approach demonstrates high accuracy and recall rates of 99.73% and 100% for binary classification, and 98.09% and 96.26% for multiclass classification on APTOS-2019 and Messidor-2 datasets, respectively. The study emphasizes the importance of early detection of DR to prevent

Author

Natureye Libkis

Language

EN