Histology-Grounded Automated Plaque Subtype Segmentation in Intravascular Optical Coherence Tomography
This histology-validated artificial intelligence algorithm driven by histologic subtypes can identify plaque subtypes not evident to a human reader. The reported algorithm can provide a fast solution to IVOCT image interpretation.
Authors
- L. Maximilian Buja (ORCID: https://orcid.org/0000-0001-8386-7029)
- Drew Nolen
- Deborah Vela
- Luis A Diaz Sanmartin (ORCID: https://orcid.org/0009-0002-0465-2930)
- Marc D. Feldman
- Alexandra Gruslova
- Thomas E. Milner
- Paul Thomas Young
- Paul Rad
Institutions
- Houston Methodist (US)
- Baylor School (US)
- The University of Texas at San Antonio (US)
Publication Details
- Journal
- Journal of the Society for Cardiovascular Angiography & Interventions
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1016/j.jscai.2024.102524
- Citations
- 2
- Primary Topic
- Coronary Interventions and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 4.01