A deep-learning system predicts glaucoma incidence and progression using retinal photographs-Reference-Cited by-同舟云学术

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A deep-learning system predicts glaucoma incidence and progression using retinal photographs

Published:2022-06-01 Issue:11 Volume:132 Page:
ISSN:1558-8238
Container-title:Journal of Clinical Investigation
language:en
Short-container-title:

Author:

Li Fei,Su Yuandong^ORCID,Lin Fengbin,Li Zhihuan,Song Yunhe,Nie Sheng,Xu Jie,Chen Linjiang,Chen Shiyan^ORCID,Li Hao,Xue Kanmin^ORCID,Che Huixin,Chen Zhengui,Yang Bin,Zhang Huiying,Ge Ming,Zhong Weihui,Yang Chunman,Chen Lina,Wang Fanyin,Jia Yunqin,Li Wanlin,Wu Yuqing^ORCID,Li Yingjie,Gao Yuanxu,Zhou Yong,Zhang Kang,Zhang Xiulan

Funder

High-level Hospital Construction Project, Zhongshan Ophthalmic Center, Sun Yat-sen University

National Natural Science Foundation of China

FDCT

FDCT-NSFC

Publisher

American Society for Clinical Investigation

Subject

General Medicine

Link

https://www.jci.org/articles/view/157968/files/pdf

Reference39 articles.

2. Ophthalmic drug discovery: novel targets and mechanisms for retinal diseases and glaucoma

3. The Pathophysiology and Treatment of Glaucoma

4. Reduction of Intraocular Pressure and Glaucoma Progression

5. Impact of Intraocular Pressure Control on Rates of Retinal Nerve Fiber Layer Loss in a Large Clinical Population

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