Improving B-mode ultrasound diagnostic performance for focal liver lesions using deep learning: A multicentre study

Yang, Qi; Wei, Jingwei; Hao, Xiaohan; Kong, De-Xing; Yu, Xiaoling; Jiang, Tianan; Xi, Junqing; Cai, Wenjia; Luo, Yanchun; Jing, Xiang; Yang, Yilin; Cheng, Zhigang; Wu, Jinyu; Zhang, Huiping; Liao, Jin-tang; Zhou, Pei; Song, Yu; Zhang, Yao; Han, Zhiyu; Cheng, Wen; Tang, Lina; Liu, Fangyi; Dou, Jianping; Zheng, Rongqin; Yu, Jie; Tian, Jie; Liang, Ping

doi:10.1016/j.ebiom.2020.102777

Public

Improving B-mode ultrasound diagnostic performance for focal liver lesions using deep learning: A multicentre study

Published in EBioMedicine • Apr 27, 2020

Authors:

Qi Yang

Jingwei Wei

Xiaohan Hao

Abstract

BackgroundThe diagnosis performance of B-mode ultrasound (US) for focal liver lesions (FLLs) is relatively limited. We aimed to develop a deep convolutional neural network of US (DCNN-US) for aiding radiologists in classification of malignant from benign FLLs.Materials and methodsThis study was cond...

Subject

Medicine

Ultrasound

Radiology

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