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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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 Type:||Article (Refereed Research - C1)|
Reproduced with permission from World Scientific and Engineering Academy and Society (WSEAS).
|Keywords:||image processing; pattern recognition; bioimaging; cell phase classification; noise clustering; Markov modeling; k-means clustering; n-nearest neighbor method. neighbor method.|
|SEO Codes:||92 HEALTH > 9202 Health and Support Services > 920203 Diagnostic Methods @ 100%|
|Deposited On:||29 Sep 2009 09:40|
|Last Modified:||02 Nov 2012 09:12|
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