Edge-Deployable Lightweight Deep Learning for Hypertensive Retinopathy Grading from En-Face OCT: A Patient-Level Feasibility Study.
- DOI
- 10.3390/bioengineering13090984
- Published
- 2026 Aug 26
- Container
- Bioengineering (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/bioengineering13090984,
title = {Edge-Deployable Lightweight Deep Learning for Hypertensive Retinopathy Grading from En-Face OCT: A Patient-Level Feasibility Study.},
author = {Şüyun SB and Yurdakul M and Taşdemir Ş and Biliş S},
year = {2026},
journal = {Bioengineering (Basel, Switzerland)},
doi = {10.3390/bioengineering13090984},
url = {https://doi.org/10.3390/bioengineering13090984}
}RIS
TY - JOUR TI - Edge-Deployable Lightweight Deep Learning for Hypertensive Retinopathy Grading from En-Face OCT: A Patient-Level Feasibility Study. AU - Şüyun SB AU - Yurdakul M AU - Taşdemir Ş AU - Biliş S PY - 2026 JO - Bioengineering (Basel, Switzerland) DO - 10.3390/bioengineering13090984 UR - https://doi.org/10.3390/bioengineering13090984 ER -
APA
SB, Ş., M, Y., Ş, T., & S, B. (2026). Edge-Deployable Lightweight Deep Learning for Hypertensive Retinopathy Grading from En-Face OCT: A Patient-Level Feasibility Study.. Bioengineering (Basel, Switzerland). https://doi.org/10.3390/bioengineering13090984
Source records
- pubmed · retrieved 2026-09-26T22:28:51.518Z