Grading of hepatocellular carcinoma based on diffusion weighted images with multiple b-values using convolutional neural networks.

Journal: Medical physics
Published Date: Jul 20, 2019

Abstract

PURPOSE: To effectively grade hepatocellular carcinoma (HCC) based on deep features derived from diffusion weighted images (DWI) with multiple b-values using convolutional neural networks (CNN).

Authors

  • Wu Zhou
    School of Medical Information Engineering, Guangzhou University of Chinese Medicine, Guangzhou, China, 510006.
  • 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.
  • Guoxi Xie
    School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, China, 510182.
  • Lijuan Zhang
    School of Computer Science and Engineering, Changchun University of Technology, Jilin 130012, China.

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