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

 
: Oguz, O.; Muenzenmayer, C.; Wittenberg, T.; Üner, A.; Cetin, A.E.; Atalay, R.C.

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Institute of Electrical and Electronics Engineers -IEEE-, Czechoslovakia Section:
International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM 2015 : Prague, Czech Republic, 29-30 October 2015
Piscataway, NJ: IEEE, 2015
ISBN: 978-1-4673-8458-2 (print)
ISBN: 978-1-4673-8457-5 (online)
ISBN: 978-1-4673-8456-8 (USB)
pp.104-108
International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) <2015, Prague>
English
Conference Paper
Fraunhofer IIS ()

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.

: http://publica.fraunhofer.de/documents/N-422790.html