SCAR-Net-assisted ultrasound diagnosis of postoperative scars and recurrent lesions in breast cancer
< 0.001). The model also demonstrated superior segmentation accuracy with Dice coefficients of 0.918-0.925 compared to traditional methods (0.795-0.811). These results suggest SCAR-Net could serve as a valuable auxiliary tool for improving early recurrence detection in postoperative breast cancer follow-up, potentially reducing unnecessary biopsies and enabling more timely interventions.
Authors
- Li Chen (ORCID: https://orcid.org/0000-0001-7922-0599)
- Jincao Yao (ORCID: https://orcid.org/0000-0003-1543-6010)
- Xinmei Li (ORCID: https://orcid.org/0009-0001-2768-3011)
- Shanshan Zhao
- Na Feng
- Zhikai Lei
- Dan Yi
- Jian Zhang
- Weijie Zou
- Chen Yang
- Xiao Zhang
- Dong Xu
- Yong Wu
Institutions
- Zhejiang Chinese Medical University (CN)
- Chinese Academy of Sciences (CN)
- Wenzhou Medical University (CN)
- Zhejiang Cancer Hospital (CN)
- Hangzhou Academy of Agricultural Sciences (CN)
- Zhejiang Academy of Medical Sciences (CN)
- Cancer Hospital of Chinese Academy of Medical Sciences (CN)
- Affiliated Hangzhou First People's Hospital, Westlake University, School of Medicine (CN)
- Shaoxing People's Hospital (CN)
- Hangzhou Cancer Hospital (CN)
Publication Details
- Journal
- iScience
- Published
- 2026-04-01
- DOI
- https://doi.org/10.1016/j.isci.2026.115550
- Primary Topic
- Breast Lesions and Carcinomas
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Department of Health of Zhejiang Province
- Zhejiang Cancer Hospital