Validation of Deep Learning–Based Automatic Retinal Layer Segmentation Algorithms for Age-Related Macular Degeneration with 2 Spectral-Domain OCT Devices
Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
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)
- Gopal Jayakar (ORCID: https://orcid.org/0000-0003-1656-8445)
- Emily Y. Chew (ORCID: https://orcid.org/0000-0003-0999-9802)
- Cameron Duic (ORCID: https://orcid.org/0000-0001-5075-0203)
Institutions
- Roche (Switzerland) (CH)
- Johnson & Johnson (United States) (US)
- National Eye Institute (US)
Publication Details
- Journal
- Ophthalmology Science
- Published
- 2024-12-04
- DOI
- https://doi.org/10.1016/j.xops.2024.100670
- Citations
- 4
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.62
Funders
- F. Hoffmann-La Roche
- Apellis Pharmaceuticals
- National Institutes of Health
- National Eye Institute