AI-Driven Recipient Recognition System for Corneal Transplantation
This study has resulted in the development of an interactive program that simulates the operator. This adaptable system, which does not impose specific selection criteria, can be trained in various eye banks worldwide and has the potential for extensive use.
Authors
- Özlem Barut Selver (ORCID: https://orcid.org/0000-0003-3333-3349)
- M. Alper Selver (ORCID: https://orcid.org/0000-0002-8445-0388)
- Özer Sakin (ORCID: https://orcid.org/0009-0007-3540-8507)
Institutions
- Izmir University (TR)
- Dokuz Eylül University (TR)
- Ege University (TR)
Publication Details
- Journal
- Cornea
- Published
- 2025-11-14
- DOI
- https://doi.org/10.1097/ico.0000000000004042
- Primary Topic
- Gaze Tracking and Assistive Technology
- Type
- article
- Field-Weighted Citation Impact
- 0.00