[Classification Model of Corneal Opacity Based on Digital Image Features].

Journal: Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
Published Date: Jul 30, 2021

Abstract

OBJECTIVE: According to the digital image features of corneal opacity, a multi classification model of support vector machine (SVM) was established to explore the objective quantification method of corneal opacity.

Authors

  • Peng Luo
    Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, PR China.
  • Jilong Zheng
    Department of Forensic Medicine, China Criminal Police University, Shenyang, 110035.
  • Peng Zhou
    School of International Studies, Zhejiang University, Hangzhou, China.
  • Yongde Zhang
    Intelligent Machine Institute, Harbin University of Science and Technology, Harbin, China.
  • Shijie Chang
    Department of Biomedical Engineering, China Medical University, Shenyang, 110122.
  • Xianzheng Sha
    Department of Biomedical Engineering, School of Fundamental Sciences, China Medical University, Shenyang 110122, Liaoning Province, China.

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