Retinal image analysis for clinical translation: From deep learning to foundation models, generalization, and trustworthy deployment.
- DOI
- 10.1016/j.artmed.2026.103522
- Published
- 2026 Sep 8
- Container
- Artificial intelligence in medicine
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.artmed.2026.103522,
title = {Retinal image analysis for clinical translation: From deep learning to foundation models, generalization, and trustworthy deployment.},
author = {Chen J and Feng X and Hu H and Liu M and Ji Q and Guo H and Hu W and Xie F},
year = {2026},
journal = {Artificial intelligence in medicine},
doi = {10.1016/j.artmed.2026.103522},
url = {https://doi.org/10.1016/j.artmed.2026.103522}
}RIS
TY - JOUR TI - Retinal image analysis for clinical translation: From deep learning to foundation models, generalization, and trustworthy deployment. AU - Chen J AU - Feng X AU - Hu H AU - Liu M AU - Ji Q AU - Guo H AU - Hu W AU - Xie F PY - 2026 JO - Artificial intelligence in medicine DO - 10.1016/j.artmed.2026.103522 UR - https://doi.org/10.1016/j.artmed.2026.103522 ER -
APA
J, C., X, F., H, H., M, L., Q, J., H, G., W, H., & F, X. (2026). Retinal image analysis for clinical translation: From deep learning to foundation models, generalization, and trustworthy deployment.. Artificial intelligence in medicine. https://doi.org/10.1016/j.artmed.2026.103522
Source records
- pubmed · retrieved 2026-09-25T20:47:36.004Z