A deep learning model for identifying diabetic retinopathy using optical coherence tomography angiography

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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Autores principales: Gahyung Ryu, Kyungmin Lee, Donggeun Park, Sang Hyun Park, Min Sagong
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/ff73611e942b4f6ba17d9ea59c8045d2
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