Automated Assessment of Choroidal Mass Dimensions Using Static and Dynamic Ultrasonographic Imaging
AI can generate precise measurement of choroidal tumors, enabling clinically actionable monitoring from ophthalmic ultrasound.
Authors
- Amir Rahdar (ORCID: https://orcid.org/0000-0002-4451-9395)
- Amin Nabavi (ORCID: https://orcid.org/0000-0003-1688-4245)
- Linda A. Cernichiaro-Espinosa (ORCID: https://orcid.org/0000-0002-3677-3860)
- Noah Emmert
- Gideon Wall
- Siamak Yousefi
- Matthew Wilson
- Benjamin King
Institutions
- University of Miami (US)
- University of Tennessee Health Science Center (US)
- Payame Noor University (IR)
- Miami University (US)
Publication Details
- Journal
- Translational Vision Science & Technology
- Published
- 2025-12-30
- DOI
- https://doi.org/10.1167/tvst.14.12.30
- Primary Topic
- Ocular Oncology and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Research to Prevent Blindness
- Florida Department of Health