Optic Cup and Disc Segmentation of Fundus Images Using Artificial Intelligence Externally Validated With Optical Coherence Tomography Measurements
AI pipelines for fundus images can provide ONH measurements such as VCDR near expert level in new patient populations without the need for additional model training.
Authors
- Jayashree Kalpathy-Cramer
- Benjamin Bearce
- Steve McNamara (ORCID: https://orcid.org/0009-0002-5028-6919)
- Naresh Mandava (ORCID: https://orcid.org/0000-0003-3251-6469)
- Yoga Advaith Veturi (ORCID: https://orcid.org/0000-0001-6158-8408)
- Talisa E. de Carlo (ORCID: https://orcid.org/0000-0001-7289-1509)
- Galia A. Deitz (ORCID: https://orcid.org/0000-0002-6935-3344)
- Praveer Singh (ORCID: https://orcid.org/0000-0001-6641-2030)
- Upasana Thakuria
- Scott Kinder
- Malik Y. Kahook
- Christopher Clark
Institutions
- Athinoula A. Martinos Center for Biomedical Imaging (US)
- University of Colorado Anschutz Medical Campus (US)
Publication Details
- Journal
- Translational Vision Science & Technology
- Published
- 2025-06-24
- DOI
- https://doi.org/10.1167/tvst.14.6.30
- Citations
- 1
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- Research to Prevent Blindness