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Pattern Recognition
Article . 1999 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Trainable grey-level models for disentangling overlapping chromosomes

Authors: Charters, Graham C.; Graham, Jim;

Trainable grey-level models for disentangling overlapping chromosomes

Abstract

We propose and evaluate a mechanism for resolving the segmentation of overlapping chromosomes using trainable models of the expected banding appearance. The models consist of templates of sub-chromosome length band profiles. Candidate chromosome segments are classified according to their responses to the entire set of templates, and matched on the basis of the classifications. Evaluation of the models using a set of annotated banding profiles yields correct classification rates of 90.8% for isolated chromosomes, and 55.4% for chromosome fragments; 70.6% of overlapping chromosome pairs, simulated using the profile data set, are correctly resolved. © 1999 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.

Country
United Kingdom
Related Organizations
Keywords

Trainable models, Segmentation, Template matching, Chromosome analysis, Overlapping chromosomes, Classification, Chromosome banding patterns

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Average
Top 10%
Average
Green
bronze