Leveraging FastViT based knowledge distillation with EfficientNet-B0 for diabetic retinopathy severity classification

Leveraging FastViT based knowledge distillation with EfficientNet-B0 for diabetic retinopathy severity classification

Diabetic retinopathy (DR) remains a key contributor to eye impairment worldwide, requiring the development of efficient and accurate deep learning models for automated diagnosis. This study presents FastEffNet, a novel framework that leverages transformer-based knowledge distillation (KD) to enhance...

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Bibliographic Details
Main Authors: Jyotirmayee Rautaray, Ali B.M. Ali, Meenakshi Kandpal, Pranati Mishra, Rzgar Farooq Rashid, Farzona Alimova, Mohamed Kallel, Nadia Batool
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:SLAS Technology
Subjects:
Diabetic retinopathy
Deep learning
Knowledge distillation
Transformer-based models
FastViT
EfficientNet-B0
Online Access:http://www.sciencedirect.com/science/article/pii/S2472630325000834
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