Article

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

2026-08-13

Abstract excerpt

<h4>Background: </h4> /Objectives: Diabetic retinopathy is a major cause of preventable vision loss worldwide, making early and accurate disease grading crucial for timely treatment. Although both convolutional neural network (CNN)-based and transformer-based architectures have demonstrated promising performance for retinal image analysis, comprehensive comparisons under a unified experimental framework remain lim...

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Literature Corpus work: ab358b46-2bec-5d5d-9698-3fcfa0e4fa40
DOI: 10.20944/preprints202608.0899.v1

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