Peer-Reviewed Publication
BMC Med Imaging2024;24(1):68.March 21, 2024Journal Article

Malignancy diagnosis of liver lesion in contrast enhanced ultrasound using an end-to-end method based on deep learning.

Hongyu Zhou1,2,3,4, Jianmin Ding1,2,3,4, Yan Zhou1,2,3,4, Yandong Wang1,2,3,4, Lei Zhao1,2,3,4, Cho-Chiang Shih5, Jingping Xu5, Jianan Wang5, Ling Tong5, Zhouye Chen5, Qizhong Lin5, Xiang Jing6,7,8,9
1The Third Central Hospital of Tianjin, 83 Jintang Road, Hedong District, Tianjin, 300170, China.
2Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin, China.
3Artificial Cell Engineering Technology Research Center, Tianjin, China.
4Tianjin Institute of Hepatobiliary Disease, Tianjin, China.
5Philips Ultrasound R&D Research, Shanghai, China.
6The Third Central Hospital of Tianjin, 83 Jintang Road, Hedong District, Tianjin, 300170, China. dr.jingxiang@vip.163.com.
7Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin, China. dr.jingxiang@vip.163.com.
8Artificial Cell Engineering Technology Research Center, Tianjin, China. dr.jingxiang@vip.163.com.
9Tianjin Institute of Hepatobiliary Disease, Tianjin, China. dr.jingxiang@vip.163.com.

Abstract

BACKGROUND: Contrast-enhanced ultrasound (CEUS) is considered as an efficient tool for focal liver lesion characterization, given it allows real-time scanning and provides dynamic tissue perfusion information. An accurate diagnosis of liver lesions with CEUS requires a precise interpretation of CEUS images. However,it is a highly experience dependent task which requires amount of training and prac…

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