The transportation algorithm as an aid to chromosome classification

Authors:
M. K. S. Tso;J. Graham
Affiliations:
Department of Mathematics, UMIST, P.O. Box 88, Manchester, M60 9PT, U.K.;Department of Medical Biophysics, Stopford Building, The University of Manchester, Oxford Road, Manchester, M13 9PT, U.K.
Venue:
Pattern Recognition Letters
Year:
1983

Citing 0
Cited 2

Automatic segmentation of metaphase cells based on global context and variant analysis

Pattern Recognition
Automated classification of metaphase chromosomes: Optimization of an adaptive computerized scheme

Journal of Biomedical Informatics

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Abstract

An algorithm is presented which obtains a constrained maximum likelihood classification of homogeneously stained chromosomes. Significantly improved results over a both context-free and a plausible context-driven classification are obtained. Extension to banded chromosomes and abnormal cells are discussed.