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
  • [1] A comparative study of classifier ensembles for bankruptcy prediction
    Tsai, Chih-Fong
    Hsu, Yu-Feng
    Yen, David C.
    APPLIED SOFT COMPUTING, 2014, 24 : 977 - 984
  • [2] Comparative study of classifier ensembles for cost-sensitive credit risk assessment
    Chen, Ning
    Ribeiro, Bernardete
    Chen, An
    INTELLIGENT DATA ANALYSIS, 2015, 19 (01) : 127 - 144
  • [3] Contextual classifier ensembles
    Jakubczyc, Janina Anna
    BUSINESS INFORMATION SYSTEMS, PROCEEDINGS, 2007, 4439 : 562 - 569
  • [4] A New Classifier Ensembles Framework
    Parvin, Hamid
    Minaei-Bidgoli, Behrouz
    Beigi, Akram
    KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT I: 15TH INTERNATIONAL CONFERENCE, KES 2011, 2011, 6881 : 110 - 119
  • [5] Robustness Verification for Classifier Ensembles
    Gross, Dennis
    Jansen, Nils
    Perez, Guillermo A.
    Raaijmakers, Stephan
    AUTOMATED TECHNOLOGY FOR VERIFICATION AND ANALYSIS (ATVA 2020), 2020, 12302 : 271 - 287
  • [6] That elusive diversity in classifier ensembles
    Kuncheva, LI
    PATTERN RECOGNITION AND IMAGE ANALYSIS, PROCEEDINGS, 2003, 2652 : 1126 - 1138
  • [7] Classifier Ensembles for Imbalanced Classification
    Schaefer, Gerald
    2017 SEVENTH INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING TECHNOLOGY (INTECH 2017), 2017, : 1 - 2
  • [8] Classifier ensembles for changing environments
    Kuncheva, LI
    MULTIPLE CLASSIFIER SYSTEMS, PROCEEDINGS, 2004, 3077 : 1 - 15
  • [9] Optimising Diversity in Classifier Ensembles
    Ivaşcu C.
    Everson R.M.
    Fieldsend J.E.
    SN Computer Science, 2022, 3 (3)
  • [10] Classifier Tools: A Comparative Study
    Mirza, Heera Begum
    Ratnaparkhe, Varsha R.
    PROCEEDINGS OF THE 2018 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL SYSTEMS (ICICCS), 2018, : 1543 - 1547
12345