Preoperative prediction for early recurrence of hepatocellular carcinoma using machine learning-based radiomics

Preoperative prediction for early recurrence of hepatocellular carcinoma using machine learning-based radiomics

ObjectiveTo develop a contrast-enhanced computed tomography (CECT) based radiomics model using machine learning method and assess its ability of preoperative prediction for the early recurrence of hepatocellular carcinoma (HCC).MethodsA total of 297 patients confirmed with HCC were assigned to the t...

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Bibliographic Details
Main Authors: Bing Mao, Yajun Ren, Xuan Yu, Xinliang Liang, Xiangming Ding
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Oncology
Subjects:
hepatocellular carcinoma
machine learning
radiomics
early recurrence
multidetector computed tomography
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2024.1346124/full

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https://www.frontiersin.org/articles/10.3389/fonc.2024.1346124/full

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