Hidden Markov Models for Chromosome Identification

CC
CBMS
2001
14th IEEE Symposium on Computer-Based Medical Systems (CMBS'01)
Abstract - Hidden Markov Models for Chromosome Identification

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	Similar Articles Articles by John M. Conroy Articles by Robert L. Becker Jr Articles by William Lefkowitz Articles by Kewi L. Christopher Articles by Rawatmal B. Surana Articles by Timothy J. O'Leary Articles by Dianne P. O'Leary Articles by Tamara G. Kolda

14th IEEE Symposium on Computer-Based Medical Systems (CMBS'01)

Bethesda, Maryland

March 26-March 27

ISBN: 0-7695-1004-3

	ASCII Text	x
	John M. Conroy, Robert L. Becker Jr, William Lefkowitz, Kewi L. Christopher, Rawatmal B. Surana, Timothy J. O'Leary, Dianne P. O'Leary, Tamara G. Kolda, "Hidden Markov Models for Chromosome Identification," Computer-Based Medical Systems, IEEE Symposium on, pp. 0473, 14th IEEE Symposium on Computer-Based Medical Systems (CMBS'01), 2001.

	BibTex	x
	@article{ 10.1109/CBMS.2001.941764, author = {John M. Conroy and Robert L. Becker Jr and William Lefkowitz and Kewi L. Christopher and Rawatmal B. Surana and Timothy J. O'Leary and Dianne P. O'Leary and Tamara G. Kolda}, title = {Hidden Markov Models for Chromosome Identification}, journal ={Computer-Based Medical Systems, IEEE Symposium on}, volume = {0}, year = {2001}, isbn = {0-7695-1004-3}, pages = {0473}, doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2001.941764}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer-Based Medical Systems, IEEE Symposium on TI - Hidden Markov Models for Chromosome Identification SN - 0-7695-1004-3 SP EP A1 - John M. Conroy, A1 - Robert L. Becker Jr, A1 - William Lefkowitz, A1 - Kewi L. Christopher, A1 - Rawatmal B. Surana, A1 - Timothy J. O'Leary, A1 - Dianne P. O'Leary, A1 - Tamara G. Kolda, PY - 2001 VL - 0 JA - Computer-Based Medical Systems, IEEE Symposium on ER -

John M. Conroy, Institute for Defense Analyses

Robert L. Becker Jr, Armed Forces Institute of Pathology

William Lefkowitz, Armed Forces Institute of Pathology

Kewi L. Christopher, Armed Forces Institute of Pathology

Rawatmal B. Surana, Armed Forces Institute of Pathology

Timothy J. O'Leary, Armed Forces Institute of Pathology

Dianne P. O'Leary, University of Maryland

Tamara G. Kolda, Sandia National Laboratories

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.2001.941764

Abstract: In this talk we present a Hidden Markov Markov for automatic karyotyping. Previously, we demonstrated that this method is robust in the presence of different types of metaphase spreads, truncation of chromosomes, and minor chromosome abnormalities, and that it gives results superior to neural network on standard data sets. In this work we evaluate it on a data set consisting of a mix of chromosomes obtained from blood, amniotic fluid and bone marrow specimens. The method is shown to be robust on this mixed set of data as well as giving far superior results than that obtained by neural networks.Technical areas: Signal and image processing in medicine; software systems in medicine.

Citation:

John M. Conroy, Robert L. Becker Jr, William Lefkowitz, Kewi L. Christopher, Rawatmal B. Surana, Timothy J. O'Leary, Dianne P. O'Leary, Tamara G. Kolda, "Hidden Markov Models for Chromosome Identification," cbms, pp.0473, 14th IEEE Symposium on Computer-Based Medical Systems (CMBS'01), 2001

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