Prediction of Microvascular Invasion in Hepatocellular Carcinoma via Deep Learning: A Multi-Center and Prospective Validation Study

Prediction of Microvascular Invasion in Hepatocellular Carcinoma via Deep Learning: A Multi-Center and Prospective Validation Study

Microvascular invasion (MVI) is a critical risk factor for postoperative recurrence of hepatocellular carcinoma (HCC). Preknowledge of MVI would assist tailored surgery planning in HCC management. In this multicenter study, we aimed to explore the validity of deep learning (DL) in MVI prediction usi...

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Bibliographic Details
Main Authors: Jingwei Wei, Hanyu Jiang, Mengsu Zeng, Meiyun Wang, Meng Niu, Dongsheng Gu, Huanhuan Chong, Yanyan Zhang, Fangfang Fu, Mu Zhou, Jie Chen, Fudong Lyv, Hong Wei, Mustafa R. Bashir, Bin Song, Hongjun Li, Jie Tian
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Cancers
Subjects:
hepatocellular carcinoma
microvascular invasion
magnetic resonance imaging
computed tomography
deep learning
Online Access:https://www.mdpi.com/2072-6694/13/10/2368

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https://www.mdpi.com/2072-6694/13/10/2368

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