Slice‐prompted HR‐CTV interactive segmentation for cervical cancer brachytherapy: A multi‐center study
The proposed SPSeg method effectively integrates clinical expertise with deep learning, offering a highly precise and efficient solution for HR-CTV delineation in cervical cancer brachytherapy.
Authors
- Du Tang (ORCID: https://orcid.org/0000-0002-5819-5782)
- Xia Yang (ORCID: https://orcid.org/0000-0002-3971-038X)
- Yuchen Song (ORCID: https://orcid.org/0000-0002-3581-0172)
- Chunbo Liu
- Wanli Huo
- Ying Cao
- Qigang Shao
- Zhao Peng
- Shuzhou Li
Institutions
- Central South University (CN)
- First Affiliated Hospital of Zhengzhou University (CN)
- Xiangya Hospital Central South University (CN)
- First Affiliated Hospital Zhejiang University (CN)
- China Jiliang University (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2026-01-30
- DOI
- https://doi.org/10.1002/mp.70305
- Primary Topic
- Endometrial and Cervical Cancer Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Henan Province
- Natural Science Foundation of Zhejiang Province