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

BACKGROUND AND AIMS: Microvascular 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...

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Detalles Bibliográficos
Autores principales: Zhang, Yafang, Wei, Qingyue, Huang, Yini, Yao, Zhao, Yan, Cuiju, Zou, Xuebin, Han, Jing, Li, Qing, Mao, Rushuang, Liao, Ying, Cao, Lan, Lin, Min, Zhou, Xiaoshuang, Tang, Xiaofeng, Hu, Yixin, Li, Lingling, Wang, Yuanyuan, Yu, Jinhua, Zhou, Jianhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9300962/
https://www.ncbi.nlm.nih.gov/pubmed/35875110
http://dx.doi.org/10.3389/fonc.2022.878061

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9300962/
https://www.ncbi.nlm.nih.gov/pubmed/35875110
http://dx.doi.org/10.3389/fonc.2022.878061

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