Detail publikačního výsledku

Classification of First-Episode Schizophrenia Using Wavelet Imaging Features

MARŠÁLOVÁ, K.; SCHWARZ, D.; PROVAZNÍK, I.

Originální název

Classification of First-Episode Schizophrenia Using Wavelet Imaging Features

Anglický název

Classification of First-Episode Schizophrenia Using Wavelet Imaging Features

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

This work explores the design and implementation of an algorithm for the classification of magnetic resonance imaging data for computer-aided diagnosis of schizophrenia. Features for classification were first extracted using two morphometric methods: voxel-based morphometry (VBM) and deformation-based morphometry (DBM). These features were then transformed into a wavelet domain using the discrete wavelet transform with various numbers of decomposition levels. The number of features was then reduced by thresholding and subsequent selection by: Fisher's Discrimination Ratio (FDR), Bhattacharyya Distance, and Variances (Var.). A Support Vector Machine with a linear kernel was used for classification. The evaluation strategy was based on leave-one-out cross-validation.

Anglický abstrakt

This work explores the design and implementation of an algorithm for the classification of magnetic resonance imaging data for computer-aided diagnosis of schizophrenia. Features for classification were first extracted using two morphometric methods: voxel-based morphometry (VBM) and deformation-based morphometry (DBM). These features were then transformed into a wavelet domain using the discrete wavelet transform with various numbers of decomposition levels. The number of features was then reduced by thresholding and subsequent selection by: Fisher's Discrimination Ratio (FDR), Bhattacharyya Distance, and Variances (Var.). A Support Vector Machine with a linear kernel was used for classification. The evaluation strategy was based on leave-one-out cross-validation.

Klíčová slova

Machine learning; neuroimaging; schizophrenia; support vector machines

Klíčová slova v angličtině

Machine learning; neuroimaging; schizophrenia; support vector machines

Autoři

MARŠÁLOVÁ, K.; SCHWARZ, D.; PROVAZNÍK, I.

Rok RIV

2021

Vydáno

01.05.2020

Nakladatel

IOS Press

Místo

Geneve

ISBN

978-1-64368-083-5

Kniha

Digital Personalized Health and Medicine

Edice

Studies in Health Technology and Informatics

Strany od

1221

Strany do

1222

Strany počet

2

URL

http://ebooks.iospress.nl/publication/54374

BibTex

@inproceedings{BUT167774,
  author="Kateřina {Maršálová} and Daniel {Schwarz} and Valentýna {Provazník}",
  title="Classification of First-Episode Schizophrenia Using Wavelet Imaging Features",
  booktitle="Digital Personalized Health and Medicine",
  year="2020",
  series="Studies in Health Technology and Informatics",
  pages="1221--1222",
  publisher="IOS Press",
  address="Geneve",
  doi="10.3233/SHTI200372",
  isbn="978-1-64368-083-5",
  url="http://ebooks.iospress.nl/publication/54374"
}