A Comparative Study of Classifier Ensembles for Karyotyping

被引：0
|
作者：
Barandiaran, Inigo [1 ]
Maclair, Gregory [1 ]
Goienetxea, Izaro [2 ]
Jauquicoa, Carlos [1 ]
Grana, Manuel [2 ]
机构：
[1] Vicomtech, Guipuzcoa, Spain
[2] Dpto CCIA, UPV EHU, Leioa, Spain
来源：
ADVANCES IN KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS | 2012年 / 243卷
关键词：
Karyotyping; classifier ensembles; Pattern Recognition;
D O I：
10.3233/978-1-61499-105-2-1400
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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 classification of banded human chromosomes for automated karyotyping (AKS), by using classifier 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 classified chromosomes. For this purpose, we have evaluated several approaches based on classifier ensembles trying to find a solution that shows better trade-off between accuracy and computational cost.
引用
收藏
页码：1400 / 1407
页数：8
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