Forme fruste keratoconus detection with OCT corneal topography using artificial intelligence algorithms
This study identified discriminating topographic parameters to be considered in refractive surgery screening on SS-OCT CASIA 2. An algorithm capable of classifying normal eyes vs FFKC cases was developed, with improved performance compared with the ESI score.
Authors
- David Touboul (ORCID: https://orcid.org/0000-0003-2751-774X)
- Eugénie Mourgues
- Valentine Saunier (ORCID: https://orcid.org/0000-0003-1293-4831)
- David Smadja (ORCID: https://orcid.org/0000-0003-4168-056X)
- Virgile Saunier
Institutions
- University of N'Djamena (TD)
- Hebrew University of Jerusalem (IL)
- Hadassah Medical Center (IL)
- Bordeaux Population Health (FR)
- Universität Trier (DE)
Publication Details
- Journal
- Journal of Cataract & Refractive Surgery
- Published
- 2024-09-03
- DOI
- https://doi.org/10.1097/j.jcrs.0000000000001542
- Citations
- 6
- Primary Topic
- Corneal surgery and disorders
- Type
- article
- Field-Weighted Citation Impact
- 2.43