• DocumentCode
    250357
  • Title

    Performance analysis of histogram-threshold method for cancer detection

  • Author

    Koc, Gamze ; Gokdel, Yigit Daghan ; Sarioglu, Baykal

  • Author_Institution
    Elektrik & Elektron. Muhendisligi Bolumu, Bogazici Univ., İstanbul, Turkey
  • fYear
    2014
  • fDate
    16-17 Oct. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, histogram-threshold method developed for cancer detection using miniaturized confocal microscopy system and its related performance analysis are presented. While doing the performance analysis, the receiver operation characteristics are applied in a novel fashion. Additionally, noise performances of different method are investigated. The highest and lowest success rates with 91.67% and 27.08% are acquired using Entropy Method and Mean Method, respectively.
  • Keywords
    biomedical optical imaging; cancer; high-speed optical techniques; image denoising; medical image processing; optical microscopy; sensitivity analysis; cancer detection; entropy method; histogram-threshold method; mean method; miniaturized confocal microscopy system; noise performances; performance analysis; receiver operation characteristics; Abstracts; Cancer; Cancer detection; Histograms; Micromechanical devices; Performance analysis; Receivers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering Meeting (BIYOMUT), 2014 18th National
  • Conference_Location
    Istanbul
  • Type

    conf

  • DOI
    10.1109/BIYOMUT.2014.7026356
  • Filename
    7026356