A deep learning model for identifying diabetic retinopathy using optical coherence tomography angiography
Abstract As the prevalence of diabetes increases, millions of people need to be screened for diabetic retinopathy (DR). Remarkable advances in technology have made it possible to use artificial intelligence to screen DR from retinal images with high accuracy and reliability, resulting in reducing hu...
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| Auteurs principaux: | , , , , |
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| Format: | article |
| Langue: | EN |
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Nature Portfolio
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/ff73611e942b4f6ba17d9ea59c8045d2 |
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