[Establishment of a deep learning-based visual model for intelligent recognition of ].

Journal: Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control
PMID:

Abstract

OBJECTIVE: To establish a deep learning-based visual model for intelligent recognition of , the intermediate host of , and evaluate the effects of different training strategies for image recognition.

Authors

  • L Shi
    Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Public Health Research Center of Jiangnan University, Wuxi 214064, China.
  • C R Xiong
    Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Public Health Research Center of Jiangnan University, Wuxi 214064, China.
  • M M Liu
    School of Public Health, Nanjing Medical University, China.
  • X S Wei
    School of Computer Science and Engineering, Nanjing University of Science and Technology, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Jiangsu Provincial Key Laboratory of Image and Video Understanding for Social Safety, China.
  • X Y Wang
  • T Wang
    Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Public Health Research Center of Jiangnan University, Wuxi 214064, China.
  • Y X Huang
    Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Public Health Research Center of Jiangnan University, Wuxi 214064, China.
  • Q B Hong
    Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Public Health Research Center of Jiangnan University, Wuxi 214064, China.
  • W Li
    Department of Public Security Technology, Railway Police College, Zhengzhou 450053, China.
  • H T Yang
    Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Public Health Research Center of Jiangnan University, Wuxi 214064, China.
  • J F Zhang
    Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Public Health Research Center of Jiangnan University, Wuxi 214064, China.
  • K Yang
    Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Public Health Research Center of Jiangnan University, Wuxi 214064, China.