Fundus photograph-based cataract evaluation network using deep learning

Fundus photograph-based cataract evaluation network using deep learning

Background: Our study aims to develop an artificial intelligence-based high-precision cataract classification and grading evaluation network using fundus images.Methods: We utilized 1,340 color fundus photographs from 875 participants (aged 50–91 years at image capture) from the Beijing Eye Study 20...

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Bibliographic Details
Main Authors: Weihao Gao, Lei Shao, Fang Li, Li Dong, Chuan Zhang, Zhuo Deng, Peiwu Qin, Wenbin Wei, Lan Ma
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-01-01
Series:Frontiers in Physics
Subjects:
artifcial intelligence
cataract
cataract screening
fundus image
cortical cataract
nuclear cataract
Online Access:https://www.frontiersin.org/articles/10.3389/fphy.2023.1235856/full

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https://www.frontiersin.org/articles/10.3389/fphy.2023.1235856/full

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