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

Atila Ü., Baydilli Y. Y., Sehirli E., Turan M. K.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, cilt.186, 2020 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 186
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1016/j.cmpb.2019.105192
  • Dergi Adı: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Applied Science & Technology Source, BIOSIS, Biotechnology Research Abstracts, Compendex, Computer & Applied Sciences, EMBASE, INSPEC, MEDLINE
  • Anahtar Kelimeler: Comet assay, DNA damage, Convolutional neural Network, Deep learning, PRINCIPLES
  • Gazi Üniversitesi Adresli: Hayır

Özet

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.