An Extensive-Form Game Paradigm for Visual Field Testing via Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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An Extensive-Form Game Paradigm for Visual Field Testing via Deep Reinforcement Learning

Published:2024-02 Issue:2 Volume:71 Page:514-523
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Ma Rui¹^ORCID,Tao Yudong¹^ORCID,Khodeiry Mohamed M.²^ORCID,Liu Xiangxiang²,Mendoza Ximena²,Liu Yuan²,Shyu Mei-Ling³^ORCID,Lee Richard K.⁴^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, University of Miami, USA

2. Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, USA

3. School of Science and Engineering, University of Missouri-Kansas City, USA

4. Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL, USA

Funder

Camiener Foundation Glaucoma Research Fund

Gutierrez Family Research Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/10/10410108/10229188.pdf?arnumber=10229188

Reference35 articles.

1. Global Prevalence of Glaucoma and Projections of Glaucoma Burden through 2040

2. What rates of glaucoma progression are clinically significant?

3. Fatigue effects in automated perimetry

4. Anxiety in visual field testing

5. Response variability in the visual field: Comparison of optic neuritis, glaucoma, ocular hypertension, and normal eyes;Henson;Invest. Ophthalmol. Vis. Sci.,2000

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