AdaptiveSwin-CNN: Adaptive Swin-CNN Framework with Self-Attention Fusion for Robust Multi-Class Retinal Disease Diagnosis

AdaptiveSwin-CNN: Adaptive Swin-CNN Framework with Self-Attention Fusion for Robust Multi-Class Retinal Disease Diagnosis

Retinal diseases account for a large fraction of global blinding disorders, requiring sophisticated diagnostic tools for early management. In this study, the author proposes a hybrid deep learning framework in the form of AdaptiveSwin-CNN that combines Swin Transformers and Convolutional Neural Netw...

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Bibliographic Details
Main Author: Imran Qureshi
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:AI
Subjects:
convolution neural network
fundus imaging
multi-class retinal disease classification
multi-scale features fusion
Swin Transformer
Online Access:https://www.mdpi.com/2673-2688/6/2/28
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https://www.mdpi.com/2673-2688/6/2/28

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