A combined Markov and noise clustering modeling method for cell phase classification
2006 (English)In: WSEAS Transactions on Biology and Biomedicine, ISSN 1109-9518, Vol. 3, no 3, 161-166 p.Article in journal (Refereed) PublishedText
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.
image processing; pattern recognition; bioimaging; cell phase classification; noise clustering; Markov modeling; k-means clustering; n-nearest neighbor method. neighbor method
Biomedical Laboratory Science/Technology
IdentifiersURN: urn:nbn:se:liu:diva-125036OAI: oai:DiVA.org:liu-125036DiVA: diva2:902751