A multi-label deep learning system for simultaneous detection of nine fundus conditions.
- DOI
- 10.1016/j.apjo.2026.100379
- Published
- 2026 Sep 25
- Container
- Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.apjo.2026.100379,
title = {A multi-label deep learning system for simultaneous detection of nine fundus conditions.},
author = {Ha J and Choi YH and Lee D and Choi J and Seo W and Lee G and Nam D and Thakur S and Yoo TK and Hwang S},
year = {2026},
journal = {Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)},
doi = {10.1016/j.apjo.2026.100379},
url = {https://doi.org/10.1016/j.apjo.2026.100379}
}RIS
TY - JOUR TI - A multi-label deep learning system for simultaneous detection of nine fundus conditions. AU - Ha J AU - Choi YH AU - Lee D AU - Choi J AU - Seo W AU - Lee G AU - Nam D AU - Thakur S AU - Yoo TK AU - Hwang S PY - 2026 JO - Asia-Pacific journal of ophthalmology (Philadelphia, Pa.) DO - 10.1016/j.apjo.2026.100379 UR - https://doi.org/10.1016/j.apjo.2026.100379 ER -
APA
J, H., YH, C., D, L., J, C., W, S., G, L., D, N., S, T., TK, Y., & S, H. (2026). A multi-label deep learning system for simultaneous detection of nine fundus conditions.. Asia-Pacific journal of ophthalmology (Philadelphia, Pa.). https://doi.org/10.1016/j.apjo.2026.100379
Source records
- pubmed · retrieved 2026-09-26T06:07:56.768Z