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Recent Advances in Automated Chromosome Image Analysis

Recent Advances in Automated Chromosome Image Analysis
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Author(s): Petros S. Karvelis (University of Ioannina, Greece)and Dimitrios I. Fotiadis (University of Ioannina, Greece)
Copyright: 2009
Pages: 13
Source title: Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications
Source Author(s)/Editor(s): Themis P. Exarchos (University of Ioannina, Greece ), Athanasios Papadopoulos (University of Ioannina, Greece )and Dimitrios I. Fotiadis (University of Ioannina, Greece )
DOI: 10.4018/978-1-60566-314-2.ch020

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Abstract

Automated chromosome analysis is now becoming routine in most human cytogenetics laboratories. It involves both processing and analysis of digital images and has been developed because of the demandby cytogeneticists. Over the years, many techniques have been introduced for the automatic segmentation and classification of chromosome images, of which only a few are included in the available commercial systems. Today, advances in chromosome imaging techniques, especially in multispectral imaging, lead the way for the development of new and improved methods for the location, segmentation and classification of chromosome images by exploiting the color information. In this chapter the authors describe methods which have been already developed for automated chromosome analysis.

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