DocumentCode
433171
Title
Chromosome counting via digital image analysis
Author
Gajendran, Victor ; Rodriguez, Jeffrey J.
Author_Institution
Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
Volume
5
fYear
2004
fDate
24-27 Oct. 2004
Firstpage
2929
Abstract
Currently, cytogenetic analysis is done using semi-automatic methods, involving substantial human intervention, which is slow and expensive. Chromosome counting is of significant economical importance, for it accelerates the karyotyping process, thereby facilitating quicker and less expensive cytogenetic analysis. In this paper, we present an automated counting algorithm based on digital image analysis. The algorithm was tested on a metaphase image database, with a 6% error rate.
Keywords
biology computing; cellular biophysics; error statistics; image processing; visual databases; automated counting algorithm; chromosome counting; cytogenetic analysis; digital image analysis; karyotyping process; metaphase image database; substantial human intervention; Acceleration; Algorithm design and analysis; Biological cells; Digital images; Filtering; Humans; Hysteresis; Image analysis; Skeleton; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2004. ICIP '04. 2004 International Conference on
ISSN
1522-4880
Print_ISBN
0-7803-8554-3
Type
conf
DOI
10.1109/ICIP.2004.1421726
Filename
1421726
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