Enhancing preoperative HER2 status classification of invasive breast cancers using machine learning models based on clinicopathological and MRI features: a multicenter study
Integrating machine learning with clinicopathological and MRI characteristics improves the accuracy of HER2 status classification in breast cancer and enhances diagnostic capabilities for radiologists in clinical practice.
Authors
- Fanghui Zhao (ORCID: https://orcid.org/0000-0001-9294-0005)
- Guodong Pang
- Yanan Wang (ORCID: https://orcid.org/0000-0002-3089-9462)
- Zhaohua Li (ORCID: https://orcid.org/0000-0002-4732-7997)
- Peipei Chen (ORCID: https://orcid.org/0000-0002-4823-7176)
- Suhong Zhao
Institutions
- Yuhuangding Hospital (CN)
- Second Hospital of Shandong University (CN)
- Yantaishan Hospital (CN)
- Qilu Hospital of Shandong University (CN)
Publication Details
- Journal
- Frontiers in Cell and Developmental Biology
- Published
- 2025-11-26
- DOI
- https://doi.org/10.3389/fcell.2025.1669651
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00