Predicting microvascular invasion in hepatocellular carcinoma: a deep learning model validated across hospitals

Predicting microvascular invasion in hepatocellular carcinoma: a deep learning model validated across hospitals

Abstract Background The accuracy of estimating microvascular invasion (MVI) preoperatively in hepatocellular carcinoma (HCC) by clinical observers is low. Most recent studies constructed MVI predictive models utilizing radiological and/or radiomics features extracted from computed tomography (CT) im...

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Bibliographic Details
Main Authors: Shu-Cheng Liu, Jesyin Lai, Jhao-Yu Huang, Chia-Fong Cho, Pei Hua Lee, Min-Hsuan Lu, Chun-Chieh Yeh, Jiaxin Yu, Wei-Ching Lin
Format: Article
Language:English
Published: BMC 2021-10-01
Series:Cancer Imaging
Subjects:
Hepatocellular carcinoma
Microvascular invasion
Deep learning
External validation
Online Access:https://doi.org/10.1186/s40644-021-00425-3

Internet

https://doi.org/10.1186/s40644-021-00425-3

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