RRM‐TransUNet: Deep‐Learning Driven Interactive Model for Precise Pancreas Segmentation in CT Images
Our method outperforms previous methods and provides doctors with an efficient and user-friendly interactive pancreas segmentation experience through the intuitive interface.
Authors
- Xin Huang (ORCID: https://orcid.org/0000-0002-2313-8104)
- Junjun Pan (ORCID: https://orcid.org/0000-0002-7991-9540)
- Peng Yu (ORCID: https://orcid.org/0000-0002-8652-2744)
- Weimin Liu (ORCID: https://orcid.org/0000-0002-9359-1465)
- Yulan Wang (ORCID: https://orcid.org/0009-0007-0272-8467)
Institutions
- Peking University (CN)
- Peking University Third Hospital (CN)
- Beihang University (CN)
Publication Details
- Journal
- International Journal of Medical Robotics and Computer Assisted Surgery
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1002/rcs.70065
- Primary Topic
- Advanced Neural Network Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Key Research and Development Program of China