Mixture-of-Shape-Experts (MoSE): End-to-End Shape Dictionary Framework to Prompt SAM for Generalizable Medical Segmentation.
- DOI
- 10.1109/cvprw67362.2025.00642
- Published
- 2025 Jun
- Container
- Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1109/cvprw67362.2025.00642,
title = {Mixture-of-Shape-Experts (MoSE): End-to-End Shape Dictionary Framework to Prompt SAM for Generalizable Medical Segmentation.},
author = {Wei J and Zhao X and Woo J and Ouyang J and El Fakhri G and Chen Q and Liu X},
year = {2025},
journal = {Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops},
doi = {10.1109/cvprw67362.2025.00642},
url = {https://doi.org/10.1109/cvprw67362.2025.00642}
}RIS
TY - JOUR TI - Mixture-of-Shape-Experts (MoSE): End-to-End Shape Dictionary Framework to Prompt SAM for Generalizable Medical Segmentation. AU - Wei J AU - Zhao X AU - Woo J AU - Ouyang J AU - El Fakhri G AU - Chen Q AU - Liu X PY - 2025 JO - Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops DO - 10.1109/cvprw67362.2025.00642 UR - https://doi.org/10.1109/cvprw67362.2025.00642 ER -
APA
J, W., X, Z., J, W., J, O., G, E. F., Q, C., & X, L. (2025). Mixture-of-Shape-Experts (MoSE): End-to-End Shape Dictionary Framework to Prompt SAM for Generalizable Medical Segmentation.. Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops. https://doi.org/10.1109/cvprw67362.2025.00642
Source records
- pubmed · retrieved 2026-09-25T14:38:28.083Z