A Comparative Study of Classifier Ensembles for Karyotyping

@Article {
author = {Iñigo Barandiaran and Grégory Maclair and Izaro Goienetxea and Carlos Jauquicoa and Manuel Graña},
title = {A Comparative Study of Classifier Ensembles for Karyotyping},
pages = {1400-1407},
volume = {243},
keywds = {

Karyotyping, classier ensembles, Pattern Recognition

}
abstract = {

The karyotyping step is essential in the genetic diagnosis process, since it allows the genetician to see and interpret patient's chromosomes. Today, this step of karyotyping is a time-cost procedure, especially the part that consists in segmenting and classifying the chromosomes by pairs. This paper presents a compartive study of image classication of banded human chromosomes for automated karyotyping (AKS), by using classier ensembles. The goal of this contribution is to propose and evaluate a solution to automate the karyotyping, from microscope images to the obtention of the classied chromosomes. For this purpose, we have evaluated several approaches based on classier ensembles trying to nd a solution that shows better trade-o between accuracy and computational cost.

}
isbn = {978-1-61499-104-5},
isi = {1},
date = {2012-09-12},
year = {2012},
}