[Intelligent identification of livestock, a source of infection, based on deep learning of unmanned aerial vehicle images].

Journal: Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control
PMID: 37253560

Abstract

OBJECTIVE: To develop an intelligent recognition model based on deep learning algorithms of unmanned aerial vehicle (UAV) images, and to preliminarily explore the value of this model for remote identification, monitoring and management of cattle, a source of infection.

Authors

  • J Xue
    Operation center, The Third Xiangya Hospital of Central South University, Changsha 410013, China.
  • S Xia
    Department of Radiology (S.X.), Tianjin First Central Hospital, Tianjin, China.
  • Z Li
    Department of Pediatrics, Jinhua Maternal and Child Health Hospital, Jinhua, 321000, China.
  • X Wang
    3 Laboratory Animal Center, Wenzhou Medical University, Wenzhou, China.
  • L Huang
    National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), National Health Commission Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai 200025, China.
  • R He
    National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), National Health Commission Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai 200025, China.
  • S Li
    Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.

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