Clinical-radiomics nomogram based on the fat-suppressed T2 sequence for differentiating luminal and non-luminal breast cancer
The clinical-radiomics nomogram showed promising clinical application value in differentiating luminal and non-luminal breast cancer.
Authors
- Yaping Wu (ORCID: https://orcid.org/0000-0002-2979-5332)
- Qingxia Wu (ORCID: https://orcid.org/0000-0003-4888-8830)
- Shunian Li
- Jun Liao (ORCID: https://orcid.org/0000-0002-2017-5065)
- Yunxia Wang (ORCID: https://orcid.org/0000-0003-1951-942X)
- Meiyun Wang (ORCID: https://orcid.org/0000-0003-4454-5005)
- Yiyan Shang
- Yuqi Guo (ORCID: https://orcid.org/0000-0002-5494-3181)
- Yaxin Guo
- Hongna Tan
Institutions
- Henan University (CN)
- Zhengzhou University (CN)
- Henan Provincial People's Hospital (CN)
- United Imaging Healthcare (China) (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2024-10-25
- DOI
- https://doi.org/10.3389/fonc.2024.1451414
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00