Automatic Tracking of Muscle Cross-Sectional Area Using Convolutional Neural Networks with Ultrasound.

Journal: Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
PMID: 30937932

Abstract

OBJECTIVES: The purpose of this study was to develop an automatic tracking method for the muscle cross-sectional area (CSA) on ultrasound (US) images using a convolutional neural network (CNN). The performance of the proposed method was evaluated and compared with that of the state-of-the art muscle segmentation method.

Authors

  • Xin Chen
    University of Nottingham, Nottingham, United Kingdom.
  • Chenxi Xie
    School of Biomedical Engineering, Shenzhen University, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen, China.
  • Zhewei Chen
    School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.
  • Qiaoliang Li
    School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.

Keywords

External Resources

Popular Topics
Recent Journals