Deep learning based microscopic cell images classification framework using multi-level ensemble.

Journal: Computer methods and programs in biomedicine
Published Date: Oct 1, 2021

Abstract

BACKGROUND AND OBJECTIVES: Advancement of the ultra-fast microscopic images acquisition and generation techniques give rise to the automated artificial intelligence (AI)-based microscopic images classification systems. The earlier cell classification systems classify the cell images of a specific type captured using a specific microscopy technique, therefore the motivation behind the present study is to develop a generic framework that can be used for the classification of cell images of multiple types captured using a variety of microscopic techniques.

Authors

  • Ritesh Maurya
    Centre for Advanced Studies, Dr A.P.J. Abdul Kalam Technical University, Lucknow, India. Electronic address: ritesh@cas.res.in.
  • Vinay Kumar Pathak
    Dr A.P.J. Abdul Kalam Technical University, Lucknow, India. Electronic address: vinay@vpathak.in.
  • Malay Kishore Dutta
    Department of Electronics & Communication Engineering, Amity University, Noida, Uttar Pradesh, India. Electronic address: malaykishoredutta@gmail.com.

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