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Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs
The ability of deep learning architectures to identify glaucomatous optic neuropathy (GON) in fundus photographs was evaluated. A large database of fundus photographs (n = 14,822) from a racially and ethnically diverse group of individuals (over 33% of African descent) was evaluated by expert review...
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| Vydáno v: | Sci Rep |
|---|---|
| Hlavní autoři: | , , , , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Nature Publishing Group UK
2018
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6232132/ https://ncbi.nlm.nih.gov/pubmed/30420630 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-35044-9 |
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