@inproceedings{4af581c6756545ba8c1003958f4adb50,
title = "Novel nuclei segmentation and cell phase identification using Markov model",
abstract = "Optical microscopy is becoming an important technique in drug discovery and life science research. In this paper, we propose a fully automated system for quantifying, analyzing cell-cycle behaviors of cancer cells. We propose an adaptive thresholding and a cell detection algorithm for cell nuclei segmentation. A migration and size based tracking method is employed to reconstruct the traces of nuclei. Based on the context information, the phases of cell nuclei are identified using a Markov model. Experimental results show the proposed system is effective for nuclei segmentation and phase identification.",
keywords = "Cell phase identification, Markov model, Nuclei segmentation, Tracking",
author = "Fuhai Li and Xiaobo Zhou and Wong, \{Stephen T.C.\}",
year = "2007",
doi = "10.1063/1.2816648",
language = "English",
isbn = "9780735404663",
series = "AIP Conference Proceedings",
pages = "96--103",
booktitle = "Computational Models For Life Sciences (CMLS '07) - 2007 International Symposium",
note = "2007 International Symposium on Computational Models for Life Sciences, CMLS '07 ; Conference date: 17-12-2007 Through 19-12-2007",
}