BPG is committed to discovery and dissemination of knowledge
Cited by in CrossRef
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]
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 radiomicsInformatics in Medicine Unlocked 2025; 52: 101608 doi: 10.1016/j.imu.2024.101608