AIMIC: Deep Learning for Microscopic Image Classification.

Journal: Computer methods and programs in biomedicine
Published Date: Sep 28, 2022

Abstract

BACKGROUND AND OBJECTIVE: Deep learning techniques are powerful tools for image analysis. However, the lack of programming experience makes it difficult for novice users to apply this technology. This project aims to lower the barrier for clinical users to implement deep learning methods in microscopic image classification.

Authors

  • Rui Liu
    School of Education, China West Normal University, Nanchong, Sichuan, China.
  • Wei Dai
    Department of Intensive Care Unit, The First Affiliated Hospital of Jiangxi Medical College, Shangrao, Jiangxi, China.
  • Tianyi Wu
    Department of Mechanical Engineering, City University of Hong Kong, Hong Kong, China.
  • Min Wang
    National and Local Joint Engineering Research Center of Ecological Treatment Technology for Urban Water Pollution, Wenzhou University, Wenzhou 325035, China.
  • Song Wan
    Division of Cardiothoracic Surgery, Department of Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China.
  • Jun Liu
    Department of Radiology, Second Xiangya Hospital, Changsha, Hunan, China.

Keywords

External Resources

Popular Topics
Recent Journals