Hierarchical diagnosis of breast phyllodes tumors enabled by deep learning of ultrasound images: a retrospective multi-center study
PTs-HDM shows strong diagnostic performance, especially for small lesions, and improves radiologists' accuracy across all experience levels, bridging diagnostic gaps and providing reliable support for PTs' hierarchical diagnosis.
Authors
- Yahan Zhou (ORCID: https://orcid.org/0000-0001-5808-2801)
- Rongrong Ru (ORCID: https://orcid.org/0000-0002-4249-3152)
- Tian Jiang (ORCID: https://orcid.org/0000-0002-4672-1095)
- Meiying Yan
- Ying Zhu (ORCID: https://orcid.org/0000-0001-5247-6324)
- Anli Zhao
- Ju-Jun Xie (ORCID: https://orcid.org/0000-0001-9888-5924)
- Jingxiao Chen (ORCID: https://orcid.org/0000-0003-2461-4616)
- Yao Wang (ORCID: https://orcid.org/0000-0003-3199-3802)
- Yang Zhang
- Chen Chen (ORCID: https://orcid.org/0009-0006-9740-0060)
- Sui Lin
- Xin Liu (ORCID: https://orcid.org/0000-0003-4083-4731)
- Haifei Xu (ORCID: https://orcid.org/0000-0002-0962-7702)
- Yuanzhen Liu (ORCID: https://orcid.org/0000-0002-6988-2481)
- Shiyan Li (ORCID: https://orcid.org/0000-0002-5974-1466)
- Dong Xu
- Qiuqing Zheng (ORCID: https://orcid.org/0000-0002-2530-2297)
- Yuqi Yan (ORCID: https://orcid.org/0009-0002-9071-2441)
- Vicky Yang Wang
- Kai Wang (ORCID: https://orcid.org/0009-0004-6559-2585)
Institutions
- Chinese Academy of Sciences (CN)
- Wenzhou Medical University (CN)
- Sir Run Run Shaw Hospital (CN)
- Zhejiang Cancer Hospital (CN)
- Zhejiang Hospital (CN)
- Lishui City People's Hospital (CN)
- The First People's Hospital of Wenling (CN)
- Dongyang People's Hospital (CN)
- The First People's Hospital of Xiaoshan District, Hangzhou (CN)
Publication Details
- Journal
- Cancer Imaging
- Published
- 2025-05-08
- DOI
- https://doi.org/10.1186/s40644-025-00879-9
- Citations
- 2
- Primary Topic
- Breast Lesions and Carcinomas
- Type
- article
- Field-Weighted Citation Impact
- 2.94
Funders
- Wenzhou Medical University
- Sir Run Run Shaw Hospital
- Zhejiang University
- Jinhua Science and Technology Bureau