[Construction of a visual intelligent identification model for in Yunnan Province based on the EfficientNet-B4 model].

Journal: Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control
Published Date: Jan 2, 2025

Abstract

OBJECTIVE: To construct a visual intelligent recognition model for in Yunnan Province based on the EfficientNet-B4 model, and to evaluate the impact of data augmentation methods and model hyperparameters on the recognition of .

Authors

  • S Bai
    School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China.
  • J Zhou
    Department of Epidemiology and Health Statistics,Guangdong Pharmaceutical University,Guangzhou,China.
  • Y Dong
    China Agricultural University. ylbcdong@cau.edu.cn.
  • J Zhang
    Department of Mechanical Engineering, Columbia University, 500 West 120th Street, New York, NY 10027, USA.
  • 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.
  • 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.

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