Maha A. Thafar

Comparative Analysis of CNN and Transformer Models for Multi-Class Diabetic Retinopathy Grading Using Fundus Images

This study systematically compares representative standard and lightweight CNN- and transformer-based architectures for multi-class DR grading and offers practical guidance for selecting suitable deep learning models for automated diabetic retinopathy screening.