Deep Learning for Multi‐Disease OCT Classification in Clinical Retina Practice Using Attention Mechanisms and Contrastive Learning
- DOI
- 10.1049/htl2.70106
- Published
- 2026-01
- Container
- Healthcare Technology Letters
- Publisher
- Institution of Engineering and Technology (IET)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1049/htl2.70106,
title = {Deep Learning for Multi‐Disease OCT Classification in Clinical Retina Practice Using Attention Mechanisms and Contrastive Learning},
author = {Khosro Rezaee and Safoura Farsi and Hossein Ghayoumi Zadeh},
year = {2026},
journal = {Healthcare Technology Letters},
doi = {10.1049/htl2.70106},
url = {https://doi.org/10.1049/htl2.70106}
}RIS
TY - JOUR TI - Deep Learning for Multi‐Disease OCT Classification in Clinical Retina Practice Using Attention Mechanisms and Contrastive Learning AU - Khosro Rezaee AU - Safoura Farsi AU - Hossein Ghayoumi Zadeh PY - 2026 JO - Healthcare Technology Letters DO - 10.1049/htl2.70106 UR - https://doi.org/10.1049/htl2.70106 ER -
APA
Rezaee, K., Farsi, S., & Zadeh, H. G. (2026). Deep Learning for Multi‐Disease OCT Classification in Clinical Retina Practice Using Attention Mechanisms and Contrastive Learning. Healthcare Technology Letters. https://doi.org/10.1049/htl2.70106
Source records
- crossref · retrieved 2026-11-04T13:17:18.561Z