CRA-Net: Transformer guided category-relation attention network for diabetic retinopathy grading-Reference-Cited by-同舟云学术

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CRA-Net: Transformer guided category-relation attention network for diabetic retinopathy grading

Published:2024-03 Issue: Volume:170 Page:107993
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Zang Feng,Ma Hui^ORCID

Publisher

Elsevier BV

Reference49 articles.

1. Deep learning for diabetic retinopathy detection and classification based on fundus images: A review;Tsiknakis;Comput. Biol. Med.,2021

2. Real-time diabetic retinopathy screening by deep learning in a multisite national screening programme: A prospective interventional cohort study;Ruamviboonsuk;Lancet Digit Health,2022

3. Recent trends and advances in fundus image analysis: A review;Iqbal;Comput. Biol. Med.,2022

4. Proposed international clinical diabetic retinopathy and diabetic macular edema disease severity scales;Wilkinson;Ophthalmol,2003

5. Deep learning based computer-aided diagnosis systems for diabetic retinopathy: A survey;Asiri;Artif. Intell. Med.,2019

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DFCAFNet: Dual-feature co-attentive fusion network for diabetic retinopathy grading;Biomedical Signal Processing and Control;2024-10

2. Fundus Image Generation and Classification of Diabetic Retinopathy Based on Convolutional Neural Network;Electronics;2024-09-11

3. A multi-resolution convolutional attention network for efficient diabetic retinopathy classification;Computers and Electrical Engineering;2024-07

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