S. Shinde

A Modified AlexNet-Based Deep Learning Framework for Multi-Disease Ophthalmic Classification and Severity Detection from Retinal Fundus Images

Automated analysis of retinal fundus photographs has become an important research direction for computer-aided ophthalmic screening. However, many existing deep-learning studies focus on a single disease, particularly diabetic retinopathy, or emphasize disease presence without integrating severity assessment. This stud...