Differential Capillary and Large Vessel Analysis Improves OCTA Classification of Diabetic Retinopathy
This study demonstrated that feature changes in capillaries are more sensitive during DR progression, and CLV analysis can significantly improve DR classification performance by extracting features that are specific to large vessels and capillaries in OCTA. Incorporating regional features further improves DR classification accuracy. Differential CLV analysis promises better disease screening, diagnosis, and treatment outcome assessment.
Authors
- Xincheng Yao (ORCID: https://orcid.org/0000-0002-0356-3242)
- Behrouz Ebrahimi (ORCID: https://orcid.org/0000-0003-3390-7330)
- Jennifer I. Lim (ORCID: https://orcid.org/0000-0001-7791-6998)
- Albert Kofi Dadzie (ORCID: https://orcid.org/0000-0002-3466-5188)
- Michael J. Heiferman (ORCID: https://orcid.org/0000-0003-3456-0164)
- Mansour Abtahi (ORCID: https://orcid.org/0000-0001-7463-9470)
- Yi‐Ting Hsieh (ORCID: https://orcid.org/0000-0003-2258-154X)
- David Le (ORCID: https://orcid.org/0000-0003-3772-1875)
- Mojtaba Rahimi (ORCID: https://orcid.org/0000-0001-6593-905X)
Institutions
- University of Illinois Urbana-Champaign (US)
- University of Illinois Chicago (US)
- National Taiwan University Hospital (TW)
Publication Details
- Journal
- Investigative Ophthalmology & Visual Science
- Published
- 2024-08-12
- DOI
- https://doi.org/10.1167/iovs.65.10.20
- Citations
- 9
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 3.64
Funders
- Research to Prevent Blindness