Bone segmentation on whole-body CT using convolutional neural network with novel data augmentation techniques.

Journal: Computers in biology and medicine
Published Date: Apr 20, 2020

Abstract

BACKGROUND: The purpose of this study was to develop and evaluate an algorithm for bone segmentation on whole-body CT using a convolutional neural network (CNN).

Authors

  • Shunjiro Noguchi
    Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan. Electronic address: noguchi.shunjiro.c95@kyoto-u.jp.
  • Mizuho Nishio
    Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
  • Masahiro Yakami
    Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
  • Keita Nakagomi
    Medical Products Technology Development Center, R&D Headquarters, Canon Inc, Tokyo, Japan.
  • Kaori Togashi
    Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.

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