Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.patrec.2007.09.017
Title: Chromosome classification using dynamic time warping
Authors: Legrand, B.
Chang, C.S. 
Ong, S.H. 
Neo, S.-Y.
Palanisamy, N.
Keywords: Chromosome
Classification
Dynamic time warping
Feature extraction
Karyotype
Issue Date: 1-Feb-2008
Citation: Legrand, B., Chang, C.S., Ong, S.H., Neo, S.-Y., Palanisamy, N. (2008-02-01). Chromosome classification using dynamic time warping. Pattern Recognition Letters 29 (3) : 215-222. ScholarBank@NUS Repository. https://doi.org/10.1016/j.patrec.2007.09.017
Abstract: A classifier based on dynamic time warping (DTW) has been developed to perform the classification of human chromosomes. DTW is used in speech recognition applications to compare two time-sequences. This paper describes a method to adapt the DTW technique in order to deal with the length and the density profile, which are common features used in classifying chromosomes. The DTW classifier is able to compare chromosomes with different elongations. Since chromosomes are non-rigid objects, the proposed classifier has the main advantage of requiring only a small training set in comparison with the conventional methods based on Bayesian classifiers or neural networks. For the same classification accuracy of 81.0%, we achieve a reduction of 88% of the size of the training set in comparison with a Bayesian classifier. © 2007 Elsevier B.V. All rights reserved.
Source Title: Pattern Recognition Letters
URI: http://scholarbank.nus.edu.sg/handle/10635/55291
ISSN: 01678655
DOI: 10.1016/j.patrec.2007.09.017
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