Automation of Identifying Abnormal Chromosomes in M-FISH
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2014 by IJCTT Journal|
|Year of Publication : 2014|
|Authors : Lijiya A , Sudheer K , V.K. Govindan|
|DOI : 10.14445/22312803/IJCTT-V13P109|
Lijiya A , Sudheer K , V.K. Govindan."Automation of Identifying Abnormal Chromosomes in M-FISH". International Journal of Computer Trends and Technology (IJCTT) V13(1):42-45, July 2014. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Chromosome analysis is one of the most essential tasks in clinical research of cell genetics and genetic disease diagnosis. Automatic analysis of chromosomes by computers is very useful but there are many issues yet to address. Karyotyping identifies and displays chromosomes in a standard format. In this paper, a tool has been introduced that identifies abnormal chromosomes. The tool is able to perform operations like detecting missing or extra chromosome, overlapping chromosomes as well as for detecting the existence of ring structure in chromosomes. The inputs for this tool are the metaphase chromosome numbers for which abnormalities have to be checked. The output specifies existence or nonexistence of abnormality along with contour and skeleton images. The performance of the tool is tested on a dataset with abnormal chromosomes, and found to provide satisfactory performance in detecting abnormalities.
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Abnormal Chromosome, M-FISH, Karyotyping, Missing, Extra, Overlap, Ring, Contour Image, Skeleton Image.