Classification of DNA damages on segmented comet assay images using convolutional neural network.

Journal: Computer methods and programs in biomedicine
Published Date: Apr 1, 2020

Abstract

BACKGROUND AND OBJECTIVE: Identification and quantification of DNA damage is a very significant subject in biomedical research area which still needs more robust and effective methods. One of the cheapest, easy to use and most successful method for DNA damage analyses is comet assay. In this study, performance of Convolutional Neural Network was examined on quantification of DNA damage using comet assay images and was compared to other methods in the literature.

Authors

  • Ümit Atila
    Department of Computer Engineering, Faculty of Engineering, Karabuk University, Karabuk, Turkey.
  • Yusuf Yargı Baydilli
    Department of Computer Engineering, Faculty of Engineering, Karabuk University, Karabuk, Turkey.
  • Eftal Sehirli
    Department of Medical Engineering, Faculty of Engineering, Karabuk University, Karabuk, Turkey. Electronic address: eftalsehirli@karabuk.edu.tr.
  • Muhammed Kamil Turan
    Faculty of Medicine Department of Medical Biology, Karabuk University, Karabük, Turkey.

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