Prediction of Microvascular Invasion of Hepatocellular Carcinoma Based on Preoperative Diffusion-Weighted MR Using Deep Learning.

Journal: Academic radiology
Published Date: Dec 7, 2020

Abstract

RATIONALE AND OBJECTIVES: To investigate the value of diffusion-weighted magnetic resonance imaging for the prediction of microvascular invasion (MVI) of Hepatocellular Carcinoma (HCC) using Convolutional Neural Networks (CNN).

Authors

  • Guangyi Wang
    Center of Marine Environmental Ecology, School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China; Key Laboratory of Systems Bioengineering (Ministry of Education), Tianjin University, Tianjin 300072, China. Electronic address: gywang@tju.edu.cn.
  • Wanwei Jian
    School of Medical Information Engineering, Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Xiaoping Cen
    School of Medical Information Engineering, Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Lijuan Zhang
    School of Computer Science and Engineering, Changchun University of Technology, Jilin 130012, China.
  • Hui Guo
    Health Sciences and Innovation, Surrey Memorial Hospital, Fraser Health Authority, Surrey, BC, Canada.
  • Zaiyi Liu
    Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
  • Changhong Liang
    Department of Radiology, Guangdong General Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, China.
  • Wu Zhou
    School of Medical Information Engineering, Guangzhou University of Chinese Medicine, Guangzhou, China, 510006.

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