Stacking classifiers based on integrated machine learning model: fusion of CT radiomics and clinical biomarkers to predict lymph node metastasis in locally advanced gastric cancer patients after neoadjuvant chemotherapy
We developed a stacking classifier that integrates radiomics and clinical biomarkers to predict LN+ in patients with LAGC undergoing surgical resection, providing personalized treatment insights.
Authors
- Jie Ma (ORCID: https://orcid.org/0000-0003-0451-7923)
- Liucheng Wu (ORCID: https://orcid.org/0000-0001-7969-3505)
- Ling Tong (ORCID: https://orcid.org/0000-0003-2112-0717)
- Zhichao Zuo
- Mingwei Huang (ORCID: https://orcid.org/0000-0002-2875-0845)
Institutions
- Guangxi Medical University (CN)
- Tumor Hospital of Guangxi Medical University (CN)
- Xiangtan University (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2025-05-06
- DOI
- https://doi.org/10.1186/s12885-025-14259-w
- Citations
- 7
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 9.52