Multiparametric OCTA Biomarkers for Classifying Mild Diabetic Retinopathy: A Cross-Sectional Evaluation
This work illustrates how structured integration of complementary OCTA features can enhance early DR discrimination and inform future quantitative OCTA analyses without relying on opaque end-to-end models.
Authors
- Zhenhe Ma (ORCID: https://orcid.org/0000-0003-4079-9550)
- Yanqiu Yang (ORCID: https://orcid.org/0000-0002-0773-6614)
- Yao Zhao (ORCID: https://orcid.org/0000-0002-8581-9554)
- Jingmin Luan
- Yi Wang
- Qinzhou Gu
- Jiahao Zhang
- Jian Liu
- Yao Yu
Institutions
- Northeastern University (CN)
Publication Details
- Journal
- Translational Vision Science & Technology
- Published
- 2026-03-26
- DOI
- https://doi.org/10.1167/tvst.15.3.30
- Primary Topic
- Retinal Diseases and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00