For: | Tang YY, Zhao YN, Zhang T, Chen ZY, Ma XL. Comprehensive radiomics nomogram for predicting survival of patients with combined hepatocellular carcinoma and cholangiocarcinoma. World J Gastroenterol 2021; 27(41): 7173-7189 [PMID: 34887636 DOI: 10.3748/wjg.v27.i41.7173] |
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URL: | https://www.wjgnet.com/2307-8960/full/v27/i41/7173.htm |
Number | Citing Articles |
1 |
Zhenshan Shi, Chengle Ma, Xinming Huang, Dairong Cao. Magnetic Resonance Imaging Radiomics‐Based Nomogram From Primary Tumor for Pretreatment Prediction of Peripancreatic Lymph Node Metastasis in Pancreatic Ductal Adenocarcinoma: A Multicenter Study. Journal of Magnetic Resonance Imaging 2022; 55(3): 823 doi: 10.1002/jmri.28048
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2 |
Jingwei Wei, Hanyu Jiang, Yu Zhou, Jie Tian, Felipe S. Furtado, Onofrio A. Catalano. Radiomics: A radiological evidence-based artificial intelligence technique to facilitate personalized precision medicine in hepatocellular carcinoma. Digestive and Liver Disease 2023; doi: 10.1016/j.dld.2022.12.015
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