A curvature-based multiresolution automatic karyotyping system

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 mean...

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Veröffentlicht in:Machine vision and applications 2003-07, Vol.14 (3), p.145-156
Hauptverfasser: Urdiales García, Cristina, Bandera Rubio, Antonio, Arrebola Pérez, Fabián, Sandoval Hernández, Francisco
Format: Artikel
Sprache:eng
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Zusammenfassung: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.
ISSN:0932-8092
1432-1769
DOI:10.1007/s00138-002-0076-z