Cine cardiac magnetic resonance segmentation using temporal-spatial adaptation of prompt-enabled segment-anything-model: a feasibility study
cineCMR-SAM effectively adapts SAM for cine CMR segmentation, achieving high generalizability and superior accuracy on unseen datasets.
Authors
- Sekeun Kim (ORCID: https://orcid.org/0000-0003-4196-6242)
- Quanzheng Li (ORCID: https://orcid.org/0000-0002-9651-5820)
- Zhennong Chen (ORCID: https://orcid.org/0000-0001-6133-8716)
- Siyeop Yoon (ORCID: https://orcid.org/0000-0002-9083-4089)
- Xiang Li (ORCID: https://orcid.org/0000-0002-9851-6376)
- Sung‐Hwan Kim (ORCID: https://orcid.org/0000-0001-5743-6241)
- Hui Ren (ORCID: https://orcid.org/0000-0003-0710-231X)
Institutions
- Massachusetts General Hospital (US)
- Center for Systems Biology (US)
Publication Details
- Journal
- Journal of Cardiovascular Magnetic Resonance
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.jocmr.2025.101909
- Citations
- 1
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- National Heart, Lung, and Blood Institute