A curvature-based multiresolution automatic karyotyping system
| Autor: | Antonio Bandera Rubio, Fabián Arrebola Pérez, Francisco Sandoval Hernández, Cristina Urdiales García |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
business.industry
Feature vector High resolution Karyotype Pattern recognition Curvature Uncorrelated Computer Science Applications Eukaryotic organism Hardware and Architecture Segmentation Computer Vision and Pattern Recognition Artificial intelligence business Classifier (UML) Software Mathematics |
| Zdroj: | Machine Vision and Applications. 14:145-156 |
| ISSN: | 1432-1769 0932-8092 |
| DOI: | 10.1007/s00138-002-0076-z |
| Popis: | This paper presents a method to segment, characterise and pair a set of chromosomes in a cell of an eukaryotic organism. This method yields several new features: (i) chromosomes are captured at non-uniform resolution to minimise the problem instance; (ii) segmentation is adaptively conducted by means of a hierarchical structure in a fast way; (iii) the curvature of each chromosome is studied at high resolution by means of attentive steps; (iv) a very short and uncorrelated feature vector is extracted from curvature by analysing its spectral components; and (v) a multistage benchmark classifier is used to pair chromosomes according to shape and banding. The method has been tested with publicly available databases. Results were successfully compared to manual karyotypes. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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