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
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"
Conference_Titel :
Computational Intelligence for Multimedia Understanding (IWCIM), 2015 International Workshop on
DOI :
10.1109/IWCIM.2015.7347083
