Cell phase classification using Markov and Gaussian mixture models

Tran, Dat, and Pham, Tuan (2005) Cell phase classification using Markov and Gaussian mixture models. In: Proceedings of the 2005 Asia-Pacific Workshop on Visual Information Processing, pp. 48-52. From: 2005 Asia Pacific Workshop on Visual Information Processing, 11-13 December 2005, Kowloon, Hong Kong .

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Abstract

We present Gaussian mixture and Markov modelling methods for the computerized classification of cell nuclei in different mitotic phases. The methods were 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. The experimental results have shown that the proposed methods are effective and have potential for higher performance with better cellular feature extraction strategy.

Item ID: 14788
Item Type: Conference Item (Refereed Research Paper - E1)
Keywords: cell phase identification; Gaussian mixture model; Markov model
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ISBN: 9624422788
Date Deposited: 08 Nov 2010 00:07
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0899 Other Information and Computing Sciences > 089999 Information and Computing Sciences not elsewhere classified @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified @ 100%
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