• DocumentCode
    2736555
  • Title

    Evaluation and comparison of cell nuclei detection algorithms

  • Author

    Szénási, Sándor ; Vámossy, Zoltán ; Kozlovszky, Miklós

  • Author_Institution
    Doctoral Sch. of Appl. Inf., Obuda Univ., Budapest, Hungary
  • fYear
    2012
  • fDate
    13-15 June 2012
  • Firstpage
    469
  • Lastpage
    475
  • Abstract
    The processing of microscopic tissue images and especially the detection of cell nuclei is nowadays done more and more using digital imagery and special immunodiagnostic software products. Since several methods (and applications) were developed for the same purpose, it is important to have a measuring number to determine which one is more efficient than the others. The purpose of the article is to develop a generally usable measurement number that is based on the “gold standard” tests used in the field of medicine and that can be used to perform an evaluation using any of image segmentation algorithms. Since interpreting the results themselves can be a pretty time consuming task, the article also contains a recommendation for the efficient implementation and a simple example to compare three algorithms used for cell nuclei detection.
  • Keywords
    biological tissues; cellular biophysics; image segmentation; medical image processing; medicine; microscopy; object detection; biomedical image processing; cell nuclei detection algorithm; digital imagery; gold standard test; image segmentation algorithm; immunodiagnostic software product; medicine; microscopic tissue image; Accuracy; Algorithm design and analysis; Classification algorithms; Gold; Image segmentation; Standards; Time measurement; K-means; biomedical image processing; nuclei detection; region growing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Engineering Systems (INES), 2012 IEEE 16th International Conference on
  • Conference_Location
    Lisbon
  • Print_ISBN
    978-1-4673-2694-0
  • Electronic_ISBN
    978-1-4673-2693-3
  • Type

    conf

  • DOI
    10.1109/INES.2012.6249880
  • Filename
    6249880