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. |
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@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.
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