Prediction of Microvascular Invasion of Hepatocellular Carcinoma Based on Contrast-Enhanced MR and 3D Convolutional Neural Networks

Prediction of Microvascular Invasion of Hepatocellular Carcinoma Based on Contrast-Enhanced MR and 3D Convolutional Neural Networks

Background and PurposeIt is extremely important to predict the microvascular invasion (MVI) of hepatocellular carcinoma (HCC) before surgery, which is a key predictor of recurrence and helps determine the treatment strategy before liver resection or liver transplantation. In this study, we demonstra...

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Bibliographic Details
Main Authors: Wu Zhou, Wanwei Jian, Xiaoping Cen, Lijuan Zhang, Hui Guo, Zaiyi Liu, Changhong Liang, Guangyi Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Oncology
Subjects:
hepatocellular carcinoma
microvascular invasion
convolutional neural network
deeply supervised network
contrast-enhanced MR
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.588010/full

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