Radiomics for preoperative assessment of peritoneal metastasis in gastric cancer

doi:10.4251/wjgo.118414

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World Journal of Gastrointestinal Oncology

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1948-5204

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

World J Gastrointest Oncol. Oct 15, 2026; 18(10): 118414
Published online Oct 15, 2026. doi: 10.4251/wjgo.118414

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Figure 1 Schematic workflow of multiphase computed tomography-based radiomics for preoperative assessment of peritoneal metastasis in gastric cancer. CT: Computed tomography; DL: Deep learning; LASSO: Least absolute shrinkage and selection operator; mRMR: Maximum relevance and minimum redundancy; RF: Random forest; SVM: Support vector machine.

Citation: Xing Y, Jiao Y, Gao YN. Radiomics for preoperative assessment of peritoneal metastasis in gastric cancer. World J Gastrointest Oncol 2026; 18(10): 118414
URL: https://www.wjgnet.com/1948-5204/full/v18/i10/118414.htm
DOI: https://dx.doi.org/10.4251/wjgo.118414

Xing Y, Jiao Y, Gao YN. Radiomics for preoperative assessment of peritoneal metastasis in gastric cancer. World J Gastrointest Oncol 2026; 18(10): 118414 [DOI: 10.4251/wjgo.118414]

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