Automated Classification of Severity of Age-Related Macular Degeneration from Fundus Photographs
Author:
Affiliation:
1. From the Applied Physics Laboratory, Johns Hopkins University, Laurel, Maryland; the
2. Wilmer Eye Institute, Johns Hopkins University School of Medicine, Retina Division, Baltimore, Maryland.
Publisher
Association for Research in Vision and Ophthalmology (ARVO)
Subject
General Medicine
Cited by 33 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. Interpretable Detection of Diabetic Retinopathy, Retinal Vein Occlusion, Age-Related Macular Degeneration, and Other Fundus Conditions;Diagnostics;2024-01-05
2. Insights into Age-Related Macular Degeneration Detection: A Comprehensive Review of OCT Image Analysis;Lecture Notes in Networks and Systems;2024
3. Automated analysis of fundus images for the diagnosis of retinal diseases: a review;Research on Biomedical Engineering;2023-12-27
4. Automated Detection of Abnormal Optical Coherence Tomography B-scans Using a Deep Learning Artificial Intelligence Neural Network Platform;International Ophthalmology Clinics;2023-12-26
5. Explainable Classification of Macular Degeneration Using Deep Learning;2023 IEEE 20th India Council International Conference (INDICON);2023-12-14
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