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
Columbia Affiliation:
Subjects:
Deep Learning
(MeSH)
Glaucoma, Open-Angle
(MeSH)
Glaucoma
(MeSH)
Ocular Hypertension
(MeSH)
Detection and Management of Retinal Diseases
(OpenAlex Topic)
Global Prevalence and Treatment of Glaucoma
(OpenAlex Topic)
Ocular Manifestations of COVID-19
(OpenAlex Topic)
Publication Type:
Article
Unique ID:
10.1167/tvst.13.1.23
PMID:
DOI:
Publication Date:
Data Source:
OpenAlex