Deep convolutional neural network for segmentation of knee joint anatomy.

Journal: Magnetic resonance in medicine
Published Date: May 17, 2018

Abstract

PURPOSE: To describe and evaluate a new segmentation method using deep convolutional neural network (CNN), 3D fully connected conditional random field (CRF), and 3D simplex deformable modeling to improve the efficiency and accuracy of knee joint tissue segmentation.

Authors

  • Zhaoye Zhou
    Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota, USA.
  • Gengyan Zhao
    Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA.
  • Richard Kijowski
    Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA.
  • Fang Liu
    The First Clinical Medical College of Gannan Medical University, Ganzhou 341000, Jiangxi Province, China.

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