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

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 human labor...

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Detalles Bibliográficos
Autores principales: Ryu, Gahyung, Lee, Kyungmin, Park, Donggeun, Park, Sang Hyun, Sagong, Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8626435/
https://www.ncbi.nlm.nih.gov/pubmed/34837030
http://dx.doi.org/10.1038/s41598-021-02479-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8626435/
https://www.ncbi.nlm.nih.gov/pubmed/34837030
http://dx.doi.org/10.1038/s41598-021-02479-6

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