Diabetic retinopathy classification using a multi-attention residual refinement architecture

Diabetic retinopathy classification using a multi-attention residual refinement architecture

Abstract Diabetic Retinopathy (DR) is a complication caused by diabetes that can destroy the retina, leading to blurred vision and even blindness. We propose a multi-attention residual refinement architecture that enhances conventional CNN performance through three strategic modifications: class-spe...

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Bibliographic Details
Main Authors: Zijian Wang, Yi Wang, Chun Ma, Xuan Bao, Ya Li
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Diabetic retinopathy
Attention mechanism
Deep learning model
Online Access:https://doi.org/10.1038/s41598-025-15269-1
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https://doi.org/10.1038/s41598-025-15269-1

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