Proceedings of the International Conference on Communication and Signal Processing 2016 (ICCASP 2016)

Automatic Classification of M-FISH Human Chromosome Images using Fuzzy Classifier and Statistical Classifier Images using Fuzzy Classifier and Statistical Classifier

Authors
B. Baheti, G. Ahuja, A. Parode
Corresponding Author
B. Baheti
Available Online December 2016.
DOI
https://doi.org/10.2991/iccasp-16.2017.80How to use a DOI?
Keywords
M-FISH, Expectation Maximization, Fuzzy, Bayes
Abstract
Identification of abnormalities in the chromosomes is a tedious job. Conventionally gray-scale imaging was used for chromosome analysis and was based on features like relative length, banding pattern, centromere posi-tion. As an alternate, Multiplex fluorescence in-situ hybridization (M-FISH) is a combinatorial labeling tech-nique which does not require these features and has many advantages over the conventional method. Our con-tribution includes implementation of joint segmentation classification technique with a) high classification accu-racy, b) low computational complexity and c) high speed for automated Karyotyping of M-FISH chromosome images. We show effect of image preprocessing on classification accuracy. We propose the use of univariate approach instead of multivariate in Fuzzy and Statistical Classifier for pixel-by-pixel joint segmentation classi-fication which results in significant reduction in computational and time complexity with increased accuracy. The overall classification accuracy with Fuzzy and Statistical classifier is 96.47 % and 97.32 % respectively.
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Proceedings
International Conference on Communication and Signal Processing 2016 (ICCASP 2016)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
978-94-6252-305-0
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccasp-16.2017.80How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - B. Baheti
AU  - G. Ahuja
AU  - A. Parode
PY  - 2016/12
DA  - 2016/12
TI  - Automatic Classification of M-FISH Human Chromosome Images using Fuzzy Classifier and Statistical Classifier Images using Fuzzy Classifier and Statistical Classifier
BT  - International Conference on Communication and Signal Processing 2016 (ICCASP 2016)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasp-16.2017.80
DO  - https://doi.org/10.2991/iccasp-16.2017.80
ID  - Baheti2016/12
ER  -