Estimation of best corrected visual acuity based on deep neural network

In this study, we investigated a convolutional neural network (CNN)-based framework for the estimation of the best-corrected visual acuity (BCVA) from fundus images. First, we collected 53,318 fundus photographs from the Gyeongsang National University Changwon Hospital, where each fundus photograph...

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Detalles Bibliográficos
Autores principales: Lee, Woongsup, Kim, Jin Hyun, Lee, Seongjin, Kim, Kyonghoon, Kang, Tae Seen, Han, Yong Seop
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9589880/
https://www.ncbi.nlm.nih.gov/pubmed/36280678
http://dx.doi.org/10.1038/s41598-022-22586-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9589880/
https://www.ncbi.nlm.nih.gov/pubmed/36280678
http://dx.doi.org/10.1038/s41598-022-22586-2

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