MVI-Mind: A Novel Deep-Learning Strategy Using Computed Tomography (CT)-Based Radiomics for End-to-End High Efficiency Prediction of Microvascular Invasion in Hepatocellular Carcinoma-MedSci.cn

MVI-Mind: A Novel Deep-Learning Strategy Using Computed Tomography (CT)-Based Radiomics for End-to-End High Efficiency Prediction of Microvascular Invasion in Hepatocellular Carcinoma

Wang, LY; Wu, ML; Li, R; Xu, XL; Zhu, CZ; Feng, XB

Feng, XB (通讯作者)，Tsinghua Univ, Sch Clin Med, 1 Tsinghua Yuan, Beijing 100084, Peoples R China.;Zhu, CZ (通讯作者)，Qingdao Univ, Dept Hepatobiliary & Pancreat Surg, Affiliated Hosp, 16 Jiangsu Rd, Qingdao 266003, Peoples R China.;Feng, XB (通讯作者)，Tsinghua Univ, Beijing Tsinghua Changgung Hosp, Hepatopancreatobiliary Ctr, Sch Clin Med, 168 Litang Rd, Beijing 102218, Peoples R China.

CANCERS, 2022; 14 (12):

Abstract

Simple Summary Microvascular invasion is an important indicator for reflecting the prognosis of hepatocellular carcinoma, but the traditional diagnosi......

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MVI-Mind: A Novel Deep-Learning Strategy Using Computed Tomography (CT)-Based Radiomics for End-to-End High Efficiency Prediction of Microvascular Invasion in Hepatocellular Carcinoma

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