• DocumentCode
    3705442
  • Title

    Detection of Cancer Stem Cells in microscopic images by using region covariance and codifference method

  • Author

    O?uzhan O?uz;Christian Muenzenmayer;Thomas Wittenberg;Ay?eg?l ?ner;A. Enis ?etin;Reng?l ?etin Atalay

  • Author_Institution
    Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents a cancer stem cell detection method using region covariance and codifference method. It focuses on detection of Cancer Stem Cell (CSC) in microscopic images which are stained with CD13 marker. Features of CSC images are extracted by using both covariance method and its multiplication free version codifference method and these features are fed into a Support Vector Machine (SVM) for classification. Experimental results are presented.
  • Keywords
    "Covariance matrices","Cancer","Stem cells","Feature extraction","Support vector machines","Image color analysis","Indexes"
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Multimedia Understanding (IWCIM), 2015 International Workshop on
  • Type

    conf

  • DOI
    10.1109/IWCIM.2015.7347083
  • Filename
    7347083
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3705442