Artificial Intelligence–Based Diagnostic Model for Detecting Keratoconus Using Videos of Corneal Force Deformation

Author:

Tan Zuoping1,Chen Xuan2,Li Kangsheng3,Liu Yan3,Cao Huazheng2,Li Jing4,Jhanji Vishal5,Zou Haohan2,Liu Fenglian3,Wang Riwei1,Wang Yan267

Affiliation:

1. Wenzhou University of Technology, Wenzhou, Zhejiang, China

2. Clinical College of Ophthalmology, Tianjin Medical University, Tianjin, China

3. Tianjin University of Technology, Tianjin, China

4. Shanxi Eye Hospital, Xi'an People's Hospital, Xi'an, Shanxi, China

5. Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA

6. Tianjin Eye Hospital, Tianjin Eye Institute, Tianjin Key Laboratory of Ophthalmology and Visual Science, Nankai University Affiliated Eye Hospital, Tianjin, China

7. https://orcid.org/0000-0002-1257-6635

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

Ophthalmology,Biomedical Engineering

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