Transformer-Based Deep Learning Prediction of 10-Degree Humphrey Visual Field Tests From 24-Degree Data

Shi, M., Lokhande, A., Tian, Y., Luo, Y., Eslami, M., Kazeminasab, S., Elze, T., Shen, L. Q., Pasquale, L. R., Wellik, S. R., De Moraes, C. G., Myers, J. S., Zebardast, N., Friedman, D. S., Boland, M. V., & Wang, M. (2024). Transformer-Based Deep Learning Prediction of 10-Degree Humphrey Visual Field Tests From 24-Degree Data. Translational Vision Science & Technology, 13(8), 11. https://doi.org/10.1167/tvst.13.8.11
Authors:
Min Shi
Anagha Lokhande
Yu Tian
Yan Luo
M. Eslami
Saber Kazeminasab
Tobias Elze
Lucy Q. Shen
Louis R. Pasquale
Sarah R. Wellik
Carlos Gustavo De Moraes
Jonathan S. Myers
Nazlee Zebardast
David Friedman
Michael V. Boland
Mengyu Wang
Affiliated Authors:
Carlos Gustavo De Moraes
Columbia Affiliation:
Subjects:
Deep Learning (MeSH)
Visual Field Tests (MeSH)
Visual Fields (MeSH)
Glaucoma (MeSH)
Tomography, Optical Coherence (MeSH)
Global Prevalence and Treatment of Glaucoma (OpenAlex Topic)
Detection and Management of Retinal Diseases (OpenAlex Topic)
Stereo Vision and Depth Estimation (OpenAlex Topic)
Author Keywords:
24-2 visual field
visual field prediction
central vision loss
deep learning
transformer
elink
Publication Type:
Article
Unique ID:
10.1167/tvst.13.8.11
PMID:
39110574
DOI:
10.1167/tvst.13.8.11
Journal:
Translational Vision Science and Technology
Publication Date:
Data Source:
OpenAlex
Source Link:
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Record Created: