A combined Markov and noise clustering modeling method for cell phase classification

Tran, Dat T., and Pham, Tuan D. (2006) A combined Markov and noise clustering modeling method for cell phase classification. WSEAS Transactions on Biology and Biomedicine, 3 (3). pp. 161-166.

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Abstract

This paper proposes a classification method of cell nuclei in different mitotic phases using a combined Markov and noise clustering modeling technique. The method was tested with the data set containing 379519 cells in 892 cell sequences for 5 phases extracted from real image sequences recorded at every fifteen minutes with a time-lapse fluorescence microscopy. Experimental results showed that the proposed method performed better than the k-means modeling method.

Item ID: 4239
Item Type: Article (Refereed Research - C1)
Keywords: image processing; pattern recognition; bioimaging; cell phase classification; noise clustering; Markov modeling; k-means clustering; n-nearest neighbor method. neighbor method.
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Reproduced with permission from World Scientific and Engineering Academy and Society (WSEAS).

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ISSN: 1109-9518
Date Deposited: 28 Sep 2009 23:40
SEO Codes: 92 HEALTH > 9202 Health and Support Services > 920203 Diagnostic Methods @ 100%
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