Advancements in Deep Learning for Automated Diagnosis of Ophthalmic Diseases: A Comprehensive Review
This review paper presents a thorough analysis of 99 recent studies focused on applying deep learning techniques for the automated diagnosis of various eye diseases, including glaucoma, diabetic retinopathy, cataracts, amblyopia, and macular degeneration. The advent of deep learning methodologies ha...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10750798/ |
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