For: | Xiang YH, Mou H, Qu B, Sun HR. Machine learning-based radiomics score improves prognostic prediction accuracy of stage II/III gastric cancer: A multi-cohort study. World J Gastrointest Surg 2024; 16(2): 345-356 [PMID: 38463348 DOI: 10.4240/wjgs.v16.i2.345] |
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URL: | https://www.wjgnet.com/1948-9366/full/v16/i2/345.htm |
Number | Citing Articles |
1 |
Gianni S.S. Liveraro, Maria E.S. Takahashi, Fabiana Lascala, Luiz R. Lopes, Nelson A. Andreollo, Maria C.S. Mendes, Jun Takahashi, José B.C. Carvalheira. Improving resectable gastric cancer prognosis prediction: A machine learning analysis combining clinical features and body composition radiomics. Informatics in Medicine Unlocked 2025; 52: 101608 doi: 10.1016/j.imu.2024.101608
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