Comparison among Four Deep Learning Image Classification Algorithms in AI-based Diatom Test.

Journal: Fa yi xue za zhi
PMID: 35725701

Abstract

OBJECTIVES: To select four algorithms with relatively balanced complexity and accuracy among deep learning image classification algorithms for automatic diatom recognition, and to explore the most suitable classification algorithm for diatom recognition to provide data reference for automatic diatom testing research in forensic medicine.

Authors

  • Yong-Zheng Zhu
    School of Forensic Medicine, Shanxi Medical University, Taiyuan 030001, China.
  • Ji Zhang
    Department of Neurology, Xiangya Hospital, Central South University, Jiangxi, Nanchang, 330006, Jiangxi, China.
  • Qi Cheng
    Institute of Intelligent System and Bioinformatics, College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China.
  • Hui-Xiao Yu
    Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China.
  • Kai-Fei Deng
    Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China.
  • Jian-Hua Zhang
    School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, PR China. Electronic address: zhangjh@ecust.edu.cn.
  • Zhi-Qiang Qin
    Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China.
  • Jian Zhao
    Key Laboratory of Intelligent Rehabilitation and Barrier-Free for the Disabled (Changchun University), Ministry of Education, Changchun University, Changchun 130012, China.
  • Jun-Hong Sun
    School of Forensic Medicine, Shanxi Medical University, Taiyuan 030001, China.
  • Ping Huang
    Division of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA.

Keywords

External Resources

Popular Topics
Recent Journals