Considerable effects of imaging sequences, feature extraction, feature selection, and classifiers on radiomics-based prediction of microvascular invasion in hepatocellular carcinoma using magnetic resonance imaging-MedSci.cn

Considerable effects of imaging sequences, feature extraction, feature selection, and classifiers on radiomics-based prediction of microvascular invasion in hepatocellular carcinoma using magnetic resonance imaging

Dai, HJ; Lu, MH; Huang, BS; Tang, MM; Pang, TT; Liao, B; Cai, HS; Huang, MQ; Zhou, YJ; Chen, X; Ding, HJ; Feng, ST

Ding, HJ (corresponding author), Shenzhen Univ, Hlth Sci Ctr, Sch Biomed Engn, Room 201, Shenzhen 518000, Peoples R China.; Feng, ST (corresponding author), Sun Yat Sen Univ, Affiliated Hosp 1, Dept Radiol, 58th,Second Zhongshan Rd, Guangzhou 510080, Peoples R China.

Abstract

Background: Microvascular invasion (MVI) has a significant effect on the prognosis of hepatocellular carcinoma (HCC), but its preoperative identificat......

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Considerable effects of imaging sequences, feature extraction, feature selection, and classifiers on radiomics-based prediction of microvascular invasion in hepatocellular carcinoma using magnetic resonance imaging

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