| JANOUŠOVÁ, Eva, Daniel SCHWARZ a Tomáš KAŠPÁREK. Data Reduction In Classification Of 3-D Brain Images In The Schizophrenia Research. In Jan, J; Jirik, R; Kolar, R; Kolarova, J; Kozumplik, J; Provaznik, I. Analysis of Biomedical Signals and Images, Biosignal-Brno. Brno, Czech Republic: Brno University of Technology VUT Press, 2010, s. 69-74. ISBN 978-80-214-4106-4. |
Další formáty:
BibTeX
LaTeX
RIS
@inproceedings{890045,
author = {Janoušová, Eva and Schwarz, Daniel and Kašpárek, Tomáš},
address = {Brno, Czech Republic},
booktitle = {Analysis of Biomedical Signals and Images, Biosignal-Brno},
editor = {Jan, J; Jirik, R; Kolar, R; Kolarova, J; Kozumplik, J; Provaznik, I},
keywords = {Principal Component Analysis; Classification; MRI; Computational Neuroanatomy; Schizophrenia},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Brno, Czech Republic},
isbn = {978-80-214-4106-4},
pages = {69-74},
publisher = {Brno University of Technology VUT Press},
title = {Data Reduction In Classification Of 3-D Brain Images In The Schizophrenia Research},
url = {http://www.biosignal.cz},
year = {2010}
}
TY - JOUR
ID - 890045
AU - Janoušová, Eva - Schwarz, Daniel - Kašpárek, Tomáš
PY - 2010
TI - Data Reduction In Classification Of 3-D Brain Images In The Schizophrenia Research
PB - Brno University of Technology VUT Press
CY - Brno, Czech Republic
SN - 9788021441064
KW - Principal Component Analysis
KW - Classification
KW - MRI
KW - Computational Neuroanatomy
KW - Schizophrenia
UR - http://www.biosignal.cz
N2 - 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.
ER -
JANOUŠOVÁ, Eva, Daniel SCHWARZ a Tomáš KAŠPÁREK. Data Reduction In Classification Of 3-D Brain Images In The Schizophrenia Research. In Jan, J; Jirik, R; Kolar, R; Kolarova, J; Kozumplik, J; Provaznik, I. \textit{Analysis of Biomedical Signals and Images, Biosignal-Brno}. Brno, Czech Republic: Brno University of Technology VUT Press, 2010, s.~69-74. ISBN~978-80-214-4106-4.
|
