Automated Eye Disease Diagnosis Using a 2D CNN with Grad-CAM: High-Accuracy Detection of Retinal Asymmetries for Multiclass Classification

• Published in: Symmetry (Basel) Vol. 17; no. 5; p. 768
• Main Authors: Abd El-Ghany, Sameh, Mahmood, Mahmood A., Abd El-Aziz, A. A.
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.05.2025
• Subjects: Accuracy; Artificial neural networks; Asymmetry; Blindness; Cataracts; Classification; Development and progression; Diabetes therapy; Diabetic retinopathy; Diagnostic systems; Empowerment; Eye diseases; Glaucoma; Macular degeneration; Medical imaging equipment; Vision; Visual impairment; Workflow

Eye diseases (EDs), including glaucoma, diabetic retinopathy, and cataracts, are major contributors to vision loss and reduced quality of life worldwide. These conditions not only affect millions of individuals but also impose a significant burden on global healthcare systems. As the population ages...