Precise staging of diabetic retinopathy through machine learning analysis of leakage source characteristics: A Radiomics-driven approach integrating OCT-A and FFA.
- DOI
- 10.1016/j.pdpdt.2026.105522
- Published
- 2026 Jun
- Container
- Photodiagnosis and photodynamic therapy
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.pdpdt.2026.105522,
title = {Precise staging of diabetic retinopathy through machine learning analysis of leakage source characteristics: A Radiomics-driven approach integrating OCT-A and FFA.},
author = {Ramezanzadeh E and Zare H and Shoeibi N and Moattar MH and Shariati MM and Dourandeesh M and Toosi MHB and Tavakoli M},
year = {2026},
journal = {Photodiagnosis and photodynamic therapy},
doi = {10.1016/j.pdpdt.2026.105522},
url = {https://doi.org/10.1016/j.pdpdt.2026.105522}
}RIS
TY - JOUR TI - Precise staging of diabetic retinopathy through machine learning analysis of leakage source characteristics: A Radiomics-driven approach integrating OCT-A and FFA. AU - Ramezanzadeh E AU - Zare H AU - Shoeibi N AU - Moattar MH AU - Shariati MM AU - Dourandeesh M AU - Toosi MHB AU - Tavakoli M PY - 2026 JO - Photodiagnosis and photodynamic therapy DO - 10.1016/j.pdpdt.2026.105522 UR - https://doi.org/10.1016/j.pdpdt.2026.105522 ER -
APA
E, R., H, Z., N, S., MH, M., MM, S., M, D., MHB, T., & M, T. (2026). Precise staging of diabetic retinopathy through machine learning analysis of leakage source characteristics: A Radiomics-driven approach integrating OCT-A and FFA.. Photodiagnosis and photodynamic therapy. https://doi.org/10.1016/j.pdpdt.2026.105522
Source records
- pubmed · retrieved 2026-09-25T17:26:02.897Z