Deep Learning Identifies High-Quality Fundus Photographs and Increases Accuracy in Automated Primary Open Angle Glaucoma Detection

Chuter, B., Huynh, J., Bowd, C., Walker, E., Rezapour, J., Brye, N., Belghith, A., Fazio, M. A., Girkin, C. A., De Moraes, G., Liebmann, J. M., Weinreb, R. N., Zangwill, L. M., & Christopher, M. (2024). Deep Learning Identifies High-Quality Fundus Photographs and Increases Accuracy in Automated Primary Open Angle Glaucoma Detection. Translational Vision Science & Technology, 13(1), 23. https://doi.org/10.1167/tvst.13.1.23
Authors:
Benton Chuter
Justin Huynh
Christopher Bowd
Evan Walker
Jasmin Rezapour
Nicole Brye
Akram Belghith
Massimo A. Fazio
Christopher A. Girkin
Carlos Gustavo De Moraes
Jeffrey M. Liebmann
Robert N. Weinreb
Linda M. Zangwill
Mark Christopher
Affiliated Authors:
Carlos Gustavo De Moraes
Jeffrey M. Liebmann
Author Keywords:
fundus
glaucoma
deep learning
quality
Publication Type:
Article
Unique ID:
10.1167/tvst.13.1.23
PMID:
Publication Date:
Data Source:
OpenAlex

Record Created: