DETECTION OF CANCER STEM CELLS IN MICROSCOPIC IMAGES BY USING REGION COVARIANCE AND CODIFFERENCE METHOD

Date

2015-10-30

Author

Oguz, Oguzhan
Muenzenmayer, Christian
Wittenberg, Thomas
ÜNER, AYŞEGÜL
ÇETİN, AHMET ENİS
Atalay, Rengül

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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.

Subject Keywords

Cancer cell detection, Stem cell recognition, Covariance features, Codifference features, Support vector machines, F1 score

URI

https://hdl.handle.net/11511/54483

Collections

Graduate School of Informatics, Conference / Seminar

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Citation Formats

O. Oguz, C. Muenzenmayer, T. Wittenberg, A. ÜNER, A. E. ÇETİN, and R. Atalay, “DETECTION OF CANCER STEM CELLS IN MICROSCOPIC IMAGES BY USING REGION COVARIANCE AND CODIFFERENCE METHOD,” 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/54483.