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

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

Abstract 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...

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Bibliographic Details
Main Authors: Mingquan Lin, Bojian Hou, Lei Liu, Mae Gordon, Michael Kass, Fei Wang, Sarah H. Van Tassel, Yifan Peng
Format: Article
Language:English
Published: Nature Portfolio 2022-08-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-17753-4

Internet

https://doi.org/10.1038/s41598-022-17753-4

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