Multi-view learning for lymph node metastasis prediction using tumor and nodal radiomics in gastric cancer

Jing Yang Peking University Aerospace School of Clinical Medicine Li Wang The University of Texas at Arlington Jiale Qin Zhejiang University Jichen Du Peking University Aerospace School of Clinical Medicine Mingchao Ding Peking University Aerospace School of Clinical Medicine Tianye Niu Shenzhen Bay Laboratory Ren-Cang Li The University of Texas at Arlington

Machine Learning mathscidoc:2309.41005

Physics in Medicine & Biology, 67, 055007, 2022.5
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radiomics, multi-view learning, lymph node metastasis, gastric cancer, preoperative prediction
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@inproceedings{jing2022multi-view,
  title={Multi-view learning for lymph node metastasis prediction using tumor and nodal radiomics in gastric cancer},
  author={Jing Yang, Li Wang, Jiale Qin, Jichen Du, Mingchao Ding, Tianye Niu, and Ren-Cang Li},
  url={http://archive.ymsc.tsinghua.edu.cn/pacm_paperurl/20230925013340011653762},
  booktitle={Physics in Medicine & Biology},
  volume={67},
  pages={055007},
  year={2022},
}
Jing Yang, Li Wang, Jiale Qin, Jichen Du, Mingchao Ding, Tianye Niu, and Ren-Cang Li. Multi-view learning for lymph node metastasis prediction using tumor and nodal radiomics in gastric cancer. 2022. Vol. 67. In Physics in Medicine & Biology. pp.055007. http://archive.ymsc.tsinghua.edu.cn/pacm_paperurl/20230925013340011653762.
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