Prediction of structural glaucoma progression from baseline fundus photographs using deep learning: a retrospective multicentre study.
- DOI
- 10.1016/j.landig.2026.101032
- Published
- 2026 Aug
- Container
- The Lancet. Digital health
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.landig.2026.101032,
title = {Prediction of structural glaucoma progression from baseline fundus photographs using deep learning: a retrospective multicentre study.},
author = {Hemelings R and Wong DW and Chua J and Van Eijgen J and Barbosa-Breda J and Ehongo A and Collignon N and Kiekens S and König SC and Elen B and Tan B and Garhöfer G and Barbastathis G and Uusitalo-Järvinen H and Schuster AK and Aung T and Tuulonen A and Stalmans I and Schmetterer L},
year = {2026},
journal = {The Lancet. Digital health},
doi = {10.1016/j.landig.2026.101032},
url = {https://doi.org/10.1016/j.landig.2026.101032}
}RIS
TY - JOUR TI - Prediction of structural glaucoma progression from baseline fundus photographs using deep learning: a retrospective multicentre study. AU - Hemelings R AU - Wong DW AU - Chua J AU - Van Eijgen J AU - Barbosa-Breda J AU - Ehongo A AU - Collignon N AU - Kiekens S AU - König SC AU - Elen B AU - Tan B AU - Garhöfer G AU - Barbastathis G AU - Uusitalo-Järvinen H AU - Schuster AK AU - Aung T AU - Tuulonen A AU - Stalmans I AU - Schmetterer L PY - 2026 JO - The Lancet. Digital health DO - 10.1016/j.landig.2026.101032 UR - https://doi.org/10.1016/j.landig.2026.101032 ER -
APA
R, H., DW, W., J, C., J, V. E., J, B., A, E., N, C., S, K., SC, K., B, E., B, T., G, G., G, B., H, U., AK, S., T, A., A, T., I, S., & L, S. (2026). Prediction of structural glaucoma progression from baseline fundus photographs using deep learning: a retrospective multicentre study.. The Lancet. Digital health. https://doi.org/10.1016/j.landig.2026.101032
Source records
- pubmed · retrieved 2026-09-25T11:49:59.007Z