Chromosome region recognition based on local band patterns

Toru Abe, Chieko Hamada, Tetsuo Kinoshita

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

To make the visual examination of a chromosome image for various chromosome abnormalities, individual chromosome regions have to be extracted from the image and classified into the distinct chromosome types in advance. To improve the accuracy and flexibility in this process, a subregion (local band pattern) based method has been proposed for recognizing individual chromosome regions in the image. This method regards each chromosome region as a series of subregions, and iterates a search for subregions in the image consecutively. As a result, chromosome region classification is performed simultaneously with its extraction for each subregion. Since the dimensions and intensities of chromosome regions vary with every image, effective subregion searches require templates whose dimensions and intensities correspond with those of chromosome regions in the subject image. In this paper, to develop an efficient subregion search, we present a method for adjusting the dimensions of templates to those of chromosome regions in the subject image and adapting the intensities in the subject image to those of the templates.

Original languageEnglish
Title of host publication8th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2008
DOIs
Publication statusPublished - 2008 Dec 1
Event8th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2008 - Athens, Greece
Duration: 2008 Oct 82008 Oct 10

Publication series

Name8th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2008

Other

Other8th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2008
Country/TerritoryGreece
CityAthens
Period08/10/808/10/10

ASJC Scopus subject areas

  • Biotechnology
  • Bioengineering

Fingerprint

Dive into the research topics of 'Chromosome region recognition based on local band patterns'. Together they form a unique fingerprint.

Cite this