Automated diagnosing primary open-angle glaucoma from fundus image by simulating human’s grading with deep learning

Primary open-angle glaucoma (POAG) is a leading cause of irreversible blindness worldwide. Although deep learning methods have been proposed to diagnose POAG, it remains challenging to develop a robust and explainable algorithm to automatically facilitate the downstream diagnostic tasks. In this stu...

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Detalles Bibliográficos
Autores principales: Lin, Mingquan, Hou, Bojian, Liu, Lei, Gordon, Mae, Kass, Michael, Wang, Fei, Van Tassel, Sarah H., Peng, Yifan
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/PMC9388536/
https://www.ncbi.nlm.nih.gov/pubmed/35982106
http://dx.doi.org/10.1038/s41598-022-17753-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388536/
https://www.ncbi.nlm.nih.gov/pubmed/35982106
http://dx.doi.org/10.1038/s41598-022-17753-4

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