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Data Reduction In Classification Of 3-D Brain Images In The Schizophrenia Research

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F10%3A00065559" target="_blank" >RIV/00216224:14110/10:00065559 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Data Reduction In Classification Of 3-D Brain Images In The Schizophrenia Research

  • Original language description

    Multidimensional image data are usually reduced during preprocessing to lower high computational requirements and to cope with the well-known small sample size problem in the huge data analysis. Two reduction methods based on principal component analysis(PCA) are compared and further modified here to be used in classification of 3-D MRI brain images of first-episode schizophrenia patients and healthy controls. The first reduction method is the two-dimensional principal component analysis (2DPCA) and the second one is the PCA based on covariance matrix of persons (pPCA). The classification efficiency of data reduced by 2DPCA and pPCA are compared while using various input image data and two classification methods ? the centroid method and the average linkage method.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    FH - Neurology, neuro-surgery, nuero-sciences

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2010

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Analysis of Biomedical Signals and Images, Biosignal-Brno

  • ISBN

    9788021441064

  • ISSN

    1211-412X

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    69-74

  • Publisher name

    Brno University of Technology VUT Press

  • Place of publication

    Brno, Czech Republic

  • Event location

    Brno, Czech Republic

  • Event date

    Jun 27, 2010

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000303723700011