Classification of white blood cells using weighted optimized deformable convolutional neural networks.

Journal: Artificial cells, nanomedicine, and biotechnology
Published Date: Dec 1, 2021

Abstract

BACKGROUND: Machine learning (ML) algorithms have been widely used in the classification of white blood cells (WBCs). However, the performance of ML algorithms still needs to be addressed for being short of gold standard data sets, and even the implementation of the proposed algorithms.

Authors

  • Xufeng Yao
    College of Medical Imaging, Jiading District Central Hospital, Shanghai University of Medicine and Health Sciences, Shanghai, China.
  • Kai Sun
    Department of Materials Science and Engineering, Jinan University.
  • Xixi Bu
    College of Medical Imaging, Jiading District Central Hospital, Shanghai University of Medicine and Health Sciences, Shanghai, China.
  • Congyi Zhao
    College of Medical Imaging, Jiading District Central Hospital, Shanghai University of Medicine and Health Sciences, Shanghai, China.
  • Yu Jin
    Department of Eye Function Laboratory, Eye Hospital, China Academy of Chinese Medical Sciences, Beijing, China.

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