Deep Learning Models for Automatic Classification of Anatomic Location in Abdominopelvic Digital Subtraction Angiography
Deep learning algorithms can identify anatomic locations in abdominopelvic DSA with high fidelity using manual or automatic methods to manage information sparsity.
Authors
- Roger E. Goldman (ORCID: https://orcid.org/0000-0003-0394-3744)
- Amol Shah
- Vladimir Filkov (ORCID: https://orcid.org/0000-0003-0492-4393)
- R. Taghavi
Institutions
- University of California, Davis (US)
Publication Details
- Journal
- Journal of Imaging Informatics in Medicine
- Published
- 2025-01-09
- DOI
- https://doi.org/10.1007/s10278-024-01351-z
- Citations
- 4
- Primary Topic
- Cerebrovascular and Carotid Artery Diseases
- Type
- article
- Field-Weighted Citation Impact
- 6.07
Funders
- University of California
- Radiological Society of North America
- University of California, Davis