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A combined Markov and noise clustering modeling method for cell phase classification
School of Information Sciences and Engineering University of CanberraC ACT 2601 AUSTRALIA.
Bioinformatics Applications Research Centre School of Information Technology James Cook University Townsville, QLD 4811 AUSTRALIA.ORCID iD: 0000-0002-4255-5130
2006 (English)In: WSEAS Transactions on Biology and Biomedicine, ISSN 1109-9518, Vol. 3, no 3, 161-166 p.Article in journal (Refereed) PublishedText
Abstract [en]

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.

Place, publisher, year, edition, pages
2006. Vol. 3, no 3, 161-166 p.
Keyword [en]
image processing; pattern recognition; bioimaging; cell phase classification; noise clustering; Markov modeling; k-means clustering; n-nearest neighbor method. neighbor method
National Category
Biomedical Laboratory Science/Technology
URN: urn:nbn:se:liu:diva-125036OAI: diva2:902751
Available from: 2016-02-12 Created: 2016-02-12 Last updated: 2016-02-24

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Pham, Tuan D
Biomedical Laboratory Science/Technology

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