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Enhanced Diabetic Retinopathy Detection Using Vision Transformer and Wasserstein Deep Convolutional Generative Adversarial Network for Early Diagnosis of Retinal Diseases

2026-06-09

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<title>Abstract</title> <p>Diabetic Retinopathy (DR) is a progressive microvascular condition resulting from diabetes. Conventional early detection techniques - fundus photography, optical coherence tomography - suffer from inaccuracy and technological complexity. This paper proposes an enhanced deep learning architecture integrating a Bilinear Double-Order Filter (BDOF), Vision Transformer (ViT) with a Wasserste...

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Literature Corpus work
eb59f7f9-e2d7-53bc-89d2-3333455e4dd1
DOI
10.21203/rs.3.rs-9651852/v1
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Enhanced Diabetic Retinopathy Detection Using Vision Transformer and Wasserstein Deep Convolutional Generative Adversarial Network for Early Diagnosis of Retinal DiseasesDOI 10.21203/rs.3.rs-9651852/v1
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