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
相关论文
共 50 条
  • [31] Survey of diversity researches on classifier ensembles
    Zhang, Hong-Da
    Wang, Xiao-Dan
    Han, Jun
    Xu, Hai-Long
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2009, 31 (12): : 3007 - 3012
  • [32] Robust Bayesian linear classifier ensembles
    Cerquides, J
    de Màntaras, RL
    MACHINE LEARNING: ECML 2005, PROCEEDINGS, 2005, 3720 : 72 - 83
  • [33] Incremental construction of classifier and discriminant ensembles
    Ulas, Aydin
    Semerci, Murat
    Yildiz, Olcay Taner
    Alpaydin, Ethem
    INFORMATION SCIENCES, 2009, 179 (09) : 1298 - 1318
  • [34] ENSEMBLES OF INSTANCE SELECTION METHODS: A COMPARATIVE STUDY
    Blachnik, Marcin
    INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE, 2019, 29 (01) : 151 - 168
  • [35] An investigation of the effects of correlation and autocorrelation on classifier fusion and optimal classifier ensembles
    Leap, Nathan J.
    Clemans, Paul P.
    Bauer, Kenneth W., Jr.
    Oxley, Mark E.
    INTERNATIONAL JOURNAL OF GENERAL SYSTEMS, 2008, 37 (04) : 475 - 498
  • [36] A Comparative Study of Standard Cytogenetic Evaluation and Molecular Karyotyping for Products of Conception
    Baxter, Leanne
    Adayapalam, Nandini
    DIAGNOSTIC MOLECULAR PATHOLOGY, 2013, 22 (04) : 228 - 235
  • [37] Building classifier ensembles for automatic sports classification
    Jaser, E
    Kittler, J
    Christmas, W
    MULTIPLE CLASSIFIER SYSTEMS, PROCEEDING, 2003, 2709 : 366 - 374
  • [38] The deterministic subspace method for constructing classifier ensembles
    Michał Koziarski
    Bartosz Krawczyk
    Michał Woźniak
    Pattern Analysis and Applications, 2017, 20 : 981 - 990
  • [39] Forming Classifier Ensembles with Deterministic Feature Subspaces
    Koziarski, Michal
    Krawczyk, Bartosz
    Wozniak, Michal
    PROCEEDINGS OF THE 2016 FEDERATED CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS (FEDCSIS), 2016, 8 : 89 - 95
  • [40] Optimising Diversity in Classifier Ensembles of Classification Trees
    Ivascu, Carina
    Everson, Richard M.
    Fieldsend, Jonathan E.
    APPLICATIONS OF EVOLUTIONARY COMPUTATION, EVOAPPLICATIONS 2021, 2021, 12694 : 634 - 648
12345