Deep Learning of Liver Contrast-Enhanced Ultrasound to Predict Microvascular Invasion and Prognosis in Hepatocellular Carcinoma

Deep Learning of Liver Contrast-Enhanced Ultrasound to Predict Microvascular Invasion and Prognosis in Hepatocellular Carcinoma

Background and AimsMicrovascular invasion (MVI) is a well-known risk factor for poor prognosis in hepatocellular carcinoma (HCC). This study aimed to develop a deep convolutional neural network (DCNN) model based on contrast-enhanced ultrasound (CEUS) to predict MVI, and thus to predict prognosis in...

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Bibliographic Details
Main Authors: Yafang Zhang, Qingyue Wei, Yini Huang, Zhao Yao, Cuiju Yan, Xuebin Zou, Jing Han, Qing Li, Rushuang Mao, Ying Liao, Lan Cao, Min Lin, Xiaoshuang Zhou, Xiaofeng Tang, Yixin Hu, Lingling Li, Yuanyuan Wang, Jinhua Yu, Jianhua Zhou
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Oncology
Subjects:
deep learning
contrast-enhanced ultrasound
microvascular invasion
hepatocellular carcinoma
prognosis
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.878061/full

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https://www.frontiersin.org/articles/10.3389/fonc.2022.878061/full

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