Corrections: Some Further Problems in the Classification of Human Chromosomes

doi:10.2307/2529240

Linear Discriminant Analysis of the wavelet domain features for automatic classification of human chromosomes

2008 9th International Conference on Signal Processing ◽

10.1109/icosp.2008.4697261 ◽

2008 ◽

Cited By ~ 2

Author(s):

M. Javan Roshtkhari ◽

S. Kamaledin Setarehdan

Keyword(s):

Discriminant Analysis ◽

Linear Discriminant Analysis ◽

Automatic Classification ◽

Wavelet Domain ◽

Human Chromosomes ◽

Linear Discriminant

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Some methods of combining class information in multivariate normal discrimination for the classification of human chromosomes

Statistics in Medicine ◽

10.1002/sim.4780100118 ◽

1991 ◽

Vol 10 (1) ◽

pp. 141-149 ◽

Cited By ~ 9

Author(s):

S. P. J. Kirby ◽

C. M. Theobald ◽

J. Piper ◽

A. D. Carothers

Keyword(s):

Human Chromosomes ◽

Multivariate Normal ◽

Class Information

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Visual classification of banded human chromosomes I. Karyotyping compared with classification of isolated chromosomes

Annals of Human Genetics ◽

10.1111/j.1469-1809.1976.tb00167.x ◽

1976 ◽

Vol 40 (1) ◽

pp. 87-97 ◽

Cited By ~ 23

Author(s):

CLAES LUNDSTEEN ◽

ANNE-MARIE LIND ◽

ERIK GRANUM

Keyword(s):

Human Chromosomes ◽

Visual Classification

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Karyotyping of Human Chromosomes Using M_FISH Images

INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY ◽

10.24297/ijmit.v4i2.4621 ◽

2013 ◽

Vol 4 (2) ◽

pp. 248-256

Author(s):

Mumthas T K ◽

Lijiya A ◽

V K Govindan

Keyword(s):

Chromosome Analysis ◽

Human Chromosomes ◽

Post Processing ◽

Watershed Transform ◽

Distinct Color

Karyotyping is a technique used to align the chromosomes in the decreasing order of size so that the structural and numerical changes can be easily identified. Traditional chromosome analysis is simplified by the introduction of M_FISH (multiplex fluorescence in-situ hy-bridization), a combinatorial labeling technique in which each chromosomes appears in distinct color. In this paper, Bayes classification of M-FISH chromosome images using the features intensity in five channel as well as size of the chromosome is presented. Watershed transform is employed for segmentation . Also reclassification of small misclassified segments to the neighbor region is performed as post-processing to improve the performance. The classifier was trained and tested on a set of images from the dataset [2] and an overall accuracy of 91.09% was obtained.

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