Automated Detection of Drusenoid Pigment Epithelial Detachments From Spectral-Domain Optical Coherence Tomography in Patients With AMD
Automated detection and quantitation of high-risk features can facilitate screening patients for clinical-trial enrollment and could serve as an outcome metric [T1 (Translation-to-Humans) and T4 (Translation-to-Population-Health)].
Authors
- Alisa T. Thavikulwat (ORCID: https://orcid.org/0000-0001-6545-3156)
- Tharindu De Silva (ORCID: https://orcid.org/0000-0002-2882-4920)
- Catherine A. Cukras (ORCID: https://orcid.org/0000-0002-1147-854X)
- Tiarnán D L Keenan (ORCID: https://orcid.org/0000-0002-2253-1772)
- Souvick Mukherjee (ORCID: https://orcid.org/0000-0003-0748-8371)
- Emily Y. Chew (ORCID: https://orcid.org/0000-0003-0999-9802)
- Cameron Duic (ORCID: https://orcid.org/0000-0001-5075-0203)
Institutions
- National Institutes of Health (US)
- National Eye Institute (US)
Publication Details
- Journal
- Translational Vision Science & Technology
- Published
- 2024-11-20
- DOI
- https://doi.org/10.1167/tvst.13.11.25
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health