Deep Learning-Based Approach for Identifying and Measuring Focal Liver Lesions on Contrast-Enhanced MRI.

Abstract

Authors

• Haoran Dai
  Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
• Yuyao Xiao
  Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
• Caixia Fu
• Robert Grimm
  Computational Linguistics & Psycholinguistics Research Center, Department of Linguistics, University of Antwerp, Antwerp, Belgium.
• Heinrich von Busch
  Digital Health, Siemens Healthineers, Erlangen, Germany.
• Bram Stieltjes
  University of Basel, University Hospital Basel, Radiology and Nuclear Medicine Clinic, Basel, Switzerland.
• Moon Hyung Choi
  Department of Radiology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
• Zhoubing Xu
  Electrical Engineering, Vanderbilt University, Nashville, TN 37235, USA. Electronic address: zhoubing.xu@vanderbilt.edu.
• Guillaume Chabin
  Technology Excellence, Digital Technology & Innovation, Siemens Healthineers, Princeton, NJ, USA.
• Chun Yang
  State Key Laboratory of Biogeology and Environmental Geology, School of Earth Sciences, China University of Geosciences, Wuhan, 430074, China.
• Mengsu Zeng
  Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.

Keywords

External Resources