Identification of NPM and non-mass breast cancer based on radiological features and radiomics
Radiomics using PyRadiomics-extracted features, LASSO, and SVM provides a robust quantitative tool to differentiate NPM from non-mass breast cancer, enhancing diagnostic precision and clinical decision-making.
Authors
- Xingyu Chen (ORCID: https://orcid.org/0000-0002-7202-738X)
- Zhen Guo (ORCID: https://orcid.org/0000-0001-9522-7686)
- Xin Lin (ORCID: https://orcid.org/0009-0001-0467-5334)
- Zhuonan Wang (ORCID: https://orcid.org/0000-0002-5745-4340)
- Rui Yan (ORCID: https://orcid.org/0009-0008-1937-1553)
- Wei Liu
Institutions
- Northwest Women's and Children's Hospital (CN)
- Xi'an Medical University (CN)
- First Affiliated Hospital of Xi'an Jiaotong University (CN)
- Xi’an University of Posts and Telecommunications (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-12-01
- DOI
- https://doi.org/10.3389/fonc.2025.1665427
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Key Research and Development Projects of Shaanxi Province