Collaborative learning of weakly-supervised domain adaptation for diabetic retinopathy grading on retinal images
Author:
Publisher
Elsevier BV
Subject
Health Informatics,Computer Science Applications
Reference49 articles.
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3. Deep bayesian baseline for segmenting diabetic retinopathy lesions: advances and challenges;Garifullin;Comput. Biol. Med.,2021
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1. CRA-Net: Transformer guided category-relation attention network for diabetic retinopathy grading;Computers in Biology and Medicine;2024-03
2. Deep learning for unsupervised domain adaptation in medical imaging: Recent advancements and future perspectives;Computers in Biology and Medicine;2024-03
3. Computer-Aided Diagnosis-Based Grading Classification of Diabetic Retinopathy Using Deep Graph Correlation Network with IRF;SN Computer Science;2024-01-22
4. A hybrid neural network approach for classifying diabetic retinopathy subtypes;Frontiers in Medicine;2024-01-04
5. A Reference-free Self-supervised Domain Adaptation Framework for Low-quality Fundus Image Enhancement;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26
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