Optimal classification for the diagnosis of duchenne muscular dystrophy images using support vector machines.

Journal: International journal of computer assisted radiology and surgery
Published Date: Sep 1, 2016

Abstract

BACKGROUND: This study aimed to investigate the optimal support vector machines (SVM)-based classifier of duchenne muscular dystrophy (DMD) magnetic resonance imaging (MRI) images.

Authors

  • Ming-Huan Zhang
    School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, People's Republic of China.
  • Jun-Shan Ma
    School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, People's Republic of China.
  • Ying Shen
  • Ying Chen
    Department of Endocrinology and Metabolism, Fudan Institute of Metabolic Diseases, Zhongshan Hospital, Fudan University, Shanghai, China.

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