Convolutional neural networks for mild diabetic retinopathy detection: An experimental study
Rubina Sarki, Sandra Michalska, Khandakar Entenam Unayes Ahmed, Hua Wang, Yanchun Zhang
This study evaluates CNNs for detecting mild diabetic retinopathy using fundus images, achieving 86% accuracy with ResNet50 and RMSProp optimizer on augmented datasets.
bioRxiv · Sep 9, 2019 · PreprintBioinformatics