Interpretable Deep Learning for OCT-Based Diagnosis of Vitreoretinal Lymphoma Versus Uveitis
The proposed deep learning method may serve as a non-invasive triage tool by identifying patients who need confirmatory pars plana vitrectomy.
Authors
- Christopher R. Rosenberg (ORCID: https://orcid.org/0000-0002-0955-8452)
- Ogul Ersin Uner (ORCID: https://orcid.org/0000-0002-8730-6859)
- Pengxiao Zang (ORCID: https://orcid.org/0000-0003-1933-8012)
- Azaz Khan (ORCID: https://orcid.org/0000-0003-0652-6663)
- Phoebe Lin
- Eric B. Suhler
- Christina J. Flaxel
- Yali Jia
Institutions
- Cleveland Clinic (US)
- Oregon Health & Science University (US)
- VA Portland Health Care System (US)
- Cleveland Eye Clinic (US)
Publication Details
- Journal
- Translational Vision Science & Technology
- Published
- 2026-02-26
- DOI
- https://doi.org/10.1167/tvst.15.2.30
- Primary Topic
- CNS Lymphoma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- U.S. Department of Veterans Affairs
- Research to Prevent Blindness
- Edward N. and Della L. Thome Memorial Foundation
- VitreoRetinal Surgery Foundation
- National Institutes of Health
- Genentech