Computer-aided diagnosis of prostate cancer using a deep convolutional neural network from multiparametric MRI.

Journal: Journal of magnetic resonance imaging : JMRI
Published Date:

Abstract

BACKGROUND: Deep learning is the most promising methodology for automatic computer-aided diagnosis of prostate cancer (PCa) with multiparametric MRI (mp-MRI).

Authors

  • Yang Song
    Biomedical and Multimedia Information Technology (BMIT) Research Group, School of IT, University of Sydney, NSW 2006, Australia. Electronic address: yson1723@uni.sydney.edu.au.
  • Yu-Dong Zhang
    University of Leicester, Leicester, United Kingdom.
  • Xu Yan
    Dept of Electrical and Computer Engineering, University of California, Los Angeles, CA, 90024, United States.
  • Hui Liu
    Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
  • Minxiong Zhou
    Shanghai University of Medicine & Health Sciences, Shanghai, China.
  • Bingwen Hu
    Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China.
  • Guang Yang
    National Heart and Lung Institute, Imperial College London, London, UK.