[Establishment and application of an artificial intelligence-assisted platform for detection of parasite eggs].

Journal: Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control
PMID: 39838639

Abstract

OBJECTIVE: To establish an artificial intelligence (AI)-assisted platform for detection of parasite eggs, and to evaluate its detection efficiency and accuracy, so as to provide technical supports for elimination of parasitic diseases.

Authors

  • H Zhu
    4 Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA.
  • Y Li
  • D Zhu
    Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
  • Y Wang
    1 School of Public Health, Capital Medical University, Beijing, China.
  • J Zhang
    Department of Mechanical Engineering, Columbia University, 500 West 120th Street, New York, NY 10027, USA.
  • S Chen
  • X Ma
    Department of Magnetic Resonance Imaging, Fuwai Hospital, National Center for Cardiovascular Diseases of China, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
  • H Wang
    Department of Mechanical Engineering, Columbia University, 500 West 120th Street, New York, NY 10027, USA.
  • H Li
    Merck Research Laboratories, Kenilworth, NJ, USA.
  • J Li
    Department of Pulmonary and Critical Care Medicine, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China.

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