Predictive machine learning model for microvascular invasion identification in hepatocellular carcinoma based on the LI-RADS system

Predictive machine learning model for microvascular invasion identification in hepatocellular carcinoma based on the LI-RADS system

PurposesThis study aimed to establish a predictive model of microvascular invasion (MVI) in hepatocellular carcinoma (HCC) by contrast-enhanced computed tomography (CT), which relied on a combination of machine learning approach and imaging features covering Liver Imaging and Reporting and Data Syst...

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Bibliographic Details
Main Authors: Xue Yang, Guoqing Shao, Jiaojiao Liu, Bin Liu, Chao Cai, Daobing Zeng, Hongjun Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Oncology
Subjects:
hepatocellular carcinoma
microvascular invasion
liver imaging reporting and data system
machine learning
contrast enhanced computed tomography
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.1021570/full

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https://www.frontiersin.org/articles/10.3389/fonc.2022.1021570/full

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