Deep dense multi-path neural network for prostate segmentation in magnetic resonance imaging.

Journal: International journal of computer assisted radiology and surgery
Published Date: Aug 7, 2018

Abstract

PURPOSE: We propose an approach of 3D convolutional neural network to segment the prostate in MR images.

Authors

  • Minh Nguyen Nhat To
    Department of Computer Science and Engineering, Sejong University, Seoul, 05006, South Korea.
  • Dang Quoc Vu
    Department of Computer Science and Engineering, Sejong University, Seoul, 05006, South Korea.
  • Baris Turkbey
    Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  • Peter L Choyke
    Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  • Jin Tae Kwak
    Center for Interventional Oncology, National Institutes of Health, Bethesda, MD, 20892, USA.

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