Diagnostic Likelihood Ratios for Glaucoma Using Deep Learning–Predicted Retinal Nerve Fiber Layer Thickness from Fundus Photographs
- DOI
- 10.1016/j.xops.2026.101355
- Published
- 2026-10
- Container
- Ophthalmology Science
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.xops.2026.101355,
title = {Diagnostic Likelihood Ratios for Glaucoma Using Deep Learning–Predicted Retinal Nerve Fiber Layer Thickness from Fundus Photographs},
author = {Neda Nilforoushan and Douglas R. da Costa and Rafael Scherer and Natalia Palazoni and Davina A. Malek and Felipe A. Medeiros},
year = {2026},
journal = {Ophthalmology Science},
doi = {10.1016/j.xops.2026.101355},
url = {https://doi.org/10.1016/j.xops.2026.101355}
}RIS
TY - JOUR TI - Diagnostic Likelihood Ratios for Glaucoma Using Deep Learning–Predicted Retinal Nerve Fiber Layer Thickness from Fundus Photographs AU - Neda Nilforoushan AU - Douglas R. da Costa AU - Rafael Scherer AU - Natalia Palazoni AU - Davina A. Malek AU - Felipe A. Medeiros PY - 2026 JO - Ophthalmology Science DO - 10.1016/j.xops.2026.101355 UR - https://doi.org/10.1016/j.xops.2026.101355 ER -
APA
Nilforoushan, N., Costa, D. R. D., Scherer, R., Palazoni, N., Malek, D. A., & Medeiros, F. A. (2026). Diagnostic Likelihood Ratios for Glaucoma Using Deep Learning–Predicted Retinal Nerve Fiber Layer Thickness from Fundus Photographs. Ophthalmology Science. https://doi.org/10.1016/j.xops.2026.101355
Source records
- crossref · retrieved 2026-09-25T03:31:28.465Z