Christopher, M., Hoseini, P., Walker, E., Proudfoot, J. A., Bowd, C., Fazio, M. A., Girkin, C. A., De Moraes, C. G., Liebmann, J. M., Weinreb, R. N., Schwartzman, A., Zangwill, L. M., & Welsbie, D. S. (2023). A Deep Learning Approach to Improve Retinal Structural Predictions and Aid Glaucoma Neuroprotective Clinical Trial Design. Ophthalmology Glaucoma, 6(2), 147–159. https://doi.org/10.1016/j.ogla.2022.08.014
Columbia Affiliation:
Subjects:
Deep Learning
(MeSH)
Glaucoma
(MeSH)
Publication Type:
Article
Unique ID:
10.1016/j.ogla.2022.08.014
PMID:
Journal:
Publication Date:
Data Source:
PubMed
Source Link: