NDLI: Detection of chromosomal abnormalities with multi-color fluorescence in situ hybridization (M-FISH) imaging and multi-spectral wavelet analysis

Content Provider	IEEE Xplore Digital Library
Author	Yu-Ping Wang,
Copyright Year	2008
Description	Author affiliation: School of Computing and Engineering, University of Missouri-Kansas City, 64110, USA (Yu-Ping Wang,)
Abstract	Multicolor karyotyping technologies, including both multi-color fluorescence in situ hybridization (M-FISH) [l] and spectral karyotyping (SKY) [2], are recently developed molecular cytogenetic techniques for rapid visualization of genornic aberrations at sub-cellular level. Multi-color karyotyping techniques are based on multi-spectral microscopic imaging in combination with high resolution molecular probes developed in genomics, which have been successhlly used in postnatal and cancer cytogenetics. Despite their promise, the current techniques are not reliable for clinical use [3]. Routine clinical application of these techniques for molecular cytogenetic diagnosis has been hampered by several technical limitations. A primary problem is the pixel by pixel classification of chromosomes from the multi-color image representations. In this work, we propose a new wavelet transform for multi-color image representation, which can effectively reduce the redundancy between multi-color images such that the classification accuracy can be improved. The algorithm was validated by testing on a database containing chromosome images obtained from a variety of M-FISH probes.
Starting Page	1222
Ending Page	1225
File Size	2007132
Page Count	4
File Format	PDF
ISBN	9781424418145
ISSN	1557170X
DOI	10.1109/IEMBS.2008.4649383
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-08-20
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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