Segment-and-Classify: ROI-Guided Generalizable Contrast Phase Classification in CT Using XGBoost.
The lightweight model demonstrated strong performance relative to all baseline models, and exhibited robust generalizability across datasets from different institutions.
Authors
- Ronald M. Summers (ORCID: https://orcid.org/0000-0001-8081-7376)
- Tejas Sudharshan Mathai (ORCID: https://orcid.org/0009-0005-8440-1702)
- Xinya Wang
- Pritam Mukherjee (ORCID: https://orcid.org/0000-0002-9975-9994)
- Zhiyong Lu (ORCID: https://orcid.org/0000-0001-9998-916X)
- Benjamin Hou (ORCID: https://orcid.org/0000-0003-3968-1707)
Institutions
- National Institutes of Health (US)
- United States National Library of Medicine (US)
- National Center for Biotechnology Information (US)
Publication Details
- Journal
- PubMed
- Published
- 2025-05-01
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00