Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study

Wang, Kun; Lu, Xue; Zhou, Hui; Gao, Yongyan; Zheng, Jian; Tong, Minghui; Wu, Changjun; Liu, Changzhu; Huang, Liping; Jiang, Tianan; Meng, Fankun; Lu, Yongping; Ai, Hong; Xie, Xiaoyan; Yin, Liping; Liang, Ping; Tian, Jie; Zheng, Rongqin

doi:10.1136/gutjnl-2018-316204

Public

Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study

Published in Gut • May 5, 2018

Authors:

Kun Wang

Xue Lu

Hui Zhou

Abstract

OBJECTIVE: We aimed to evaluate the performance of the newly developed deep learning Radiomics of elastography (DLRE) for assessing liver fibrosis stages. DLRE adopts the radiomic strategy for quantitative analysis of the heterogeneity in two-dimensional shear wave elastography (2D-SWE) images. DESI...

Subject

Medicine

Receiver operating characteristic

Elastography

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