Understanding How Fundus Image Quality Degradation Affects CNN-based Diagnosis
Author:
Affiliation:
1. Southern University of Science and Technology,Department of Computer Science and Engineering,Shenzhen,China,518055
Funder
Guangdong Basic and Applied Fundamental Research Fund Committee
Shenzhen Natural Science Fund
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9870821/9870822/09871507.pdf?arnumber=9871507
Reference20 articles.
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4. CycleGAN-based deep learning technique for artifact reduction in fundus photography
5. Modeling and enhancing low-quality retinal fundus images;shen;IEEE Transactions on Medical Imaging,2020
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