Literature DB >> 2714109

On fully automatic feature measurement for banded chromosome classification.

J Piper1, E Granum.   

Abstract

Procedures for fully automatic location of chromosome axis and centromere in metaphase chromosomes are described for a practical interactive chromosome analysis system that omits the usual stages of interactive axis and centromere correction. Accuracy of centromere finding and consequential determination of a chromosome's polarity, i.e., which end is which, is measured experimentally. The saving in interaction by not correcting centromeres is compared to the increase in errors at the classification stage and the consequent increase in interaction needed to correct these errors. Some previously unreported features for banded chromosome classification are described, and in particular a set of global shape features is introduced. The discrimination capability of the feature measurements is evaluated by use of simple statistics and by reference to the performance of classifiers trained with various feature subsets. Class discrimination capability of the global shape feature set is shown to be comparable to that of centromere position, a widely used local shape feature. The variability of feature measurements that might occur in data from different laboratories on account of differing tissue, preparation methods, and digitiser hardware is assessed using three data bases of G-banded human metaphase cells. It is shown that the differences can be considerable and that appropriate feature selection and classifier training substantially improve classification performance.

Entities:  

Mesh:

Year:  1989        PMID: 2714109     DOI: 10.1002/cyto.990100303

Source DB:  PubMed          Journal:  Cytometry        ISSN: 0196-4763


  13 in total

Review 1.  A review of metaphase chromosome image selection techniques for automatic karyotype generation.

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Journal:  Med Biol Eng Comput       Date:  2015-12-16       Impact factor: 2.602

2.  Automated identification of analyzable metaphase chromosomes depicted on microscopic digital images.

Authors:  Xingwei Wang; Shibo Li; Hong Liu; Marc Wood; Wei R Chen; Bin Zheng
Journal:  J Biomed Inform       Date:  2007-07-10       Impact factor: 6.317

3.  Automated classification of metaphase chromosomes: optimization of an adaptive computerized scheme.

Authors:  Xingwei Wang; Bin Zheng; Shibo Li; John J Mulvihill; Marc C Wood; Hong Liu
Journal:  J Biomed Inform       Date:  2008-05-21       Impact factor: 6.317

4.  Centromere attribute integration based chromosome polarity assignment.

Authors:  R J Stanley; J Keller; C W Caldwell; P Gader
Journal:  Proc AMIA Annu Fall Symp       Date:  1996

5.  Correlation-based feature selection and classification via regression of segmented chromosomes using geometric features.

Authors:  Tanvi Arora; Renu Dhir
Journal:  Med Biol Eng Comput       Date:  2016-07-29       Impact factor: 2.602

6.  An image feature-based approach to automatically find images for application to clinical decision support.

Authors:  R Joe Stanley; Soumya De; Dina Demner-Fushman; Sameer Antani; George R Thoma
Journal:  Comput Med Imaging Graph       Date:  2010-12-08       Impact factor: 4.790

7.  Genetic heterogeneity in X-linked hydrocephalus: linkage to markers within Xq27.3.

Authors:  L Strain; C M Gosden; D J Brock; D T Bonthron
Journal:  Am J Hum Genet       Date:  1994-02       Impact factor: 11.025

8.  Escherichia coli O157:H7 restriction pattern recognition by artificial neural network.

Authors:  C A Carson; J M Keller; K K McAdoo; D Wang; B Higgins; C W Bailey; J G Thorne; B J Payne; M Skala; A W Hahn
Journal:  J Clin Microbiol       Date:  1995-11       Impact factor: 5.948

9.  A basis function feature-based approach for skin lesion discrimination in dermatology dermoscopy images.

Authors:  R Joe Stanley; William V Stoecker; Randy H Moss; Harold S Rabinovitz; Armand B Cognetta; Giuseppe Argenziano; H Peter Soyer
Journal:  Skin Res Technol       Date:  2008-11       Impact factor: 2.365

10.  Development and Assessment of an Integrated Computer-Aided Detection Scheme for Digital Microscopic Images of Metaphase Chromosomes.

Authors:  Xingwei Wang; Bin Zheng; Shibo Li; John J Mulvihill; Hong Liu
Journal:  J Electron Imaging       Date:  2008-11-12       Impact factor: 0.945

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