Radiomics models using machine learning algorithms to differentiate the primary focus of brain metastasis
The enhanced MRI radiomics model, especially the LightGBM model, can accurately predict the primary lesion types of brain metastases from lung cancer and breast cancer origins.
Authors
- Wei Zou (ORCID: https://orcid.org/0000-0001-8704-8303)
- Mingsheng Huang (ORCID: https://orcid.org/0000-0003-4749-4231)
- Lei Chen (ORCID: https://orcid.org/0009-0007-7679-7545)
- Xiaobing Li (ORCID: https://orcid.org/0000-0002-4177-5887)
- Yuanyuan Han (ORCID: https://orcid.org/0009-0005-0240-9912)
- Zibin Liang (ORCID: https://orcid.org/0000-0001-5866-5169)
- Shuai Yang (ORCID: https://orcid.org/0000-0002-1837-0515)
- Fujie Jia
- Chuntao Deng (ORCID: https://orcid.org/0009-0002-0049-8497)
- Yuping Xie (ORCID: https://orcid.org/0009-0001-2768-3775)
Institutions
- Sun Yat-sen University (CN)
- Fifth Affiliated Hospital of Sun Yat-sen University (CN)
Publication Details
- Journal
- Translational Cancer Research
- Published
- 2025-02-01
- DOI
- https://doi.org/10.21037/tcr-24-1355
- Citations
- 5
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 6.80