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@inproceedings{868989,
author = {Janoušová, Eva and Schwarz, Daniel and Kašpárek, Tomáš},
address = {Praha},
booktitle = {Technical Compuning Prague 2009, 17th Annual Conference Proceedings},
keywords = {principal component analysis;centroid method;average linkage;MRI;schizophrenia;computational neuroanatomy},
language = {eng},
location = {Praha},
isbn = {978-80-7080-733-0},
pages = {1-3},
publisher = {Humusoft s.r.o.},
title = {Classification of 3-D MRI Images Based on Spatial Deformations in The Schizophrenia Research},
url = {http://dsp.vscht.cz/konference_matlab/MATLAB09/},
year = {2009}
}
TY - JOUR
ID - 868989
AU - Janoušová, Eva - Schwarz, Daniel - Kašpárek, Tomáš
PY - 2009
TI - Classification of 3-D MRI Images Based on Spatial Deformations in The Schizophrenia Research
PB - Humusoft s.r.o.
CY - Praha
SN - 9788070807330
KW - principal component analysis;centroid method;average linkage;MRI;schizophrenia;computational neuroanatomy
UR - http://dsp.vscht.cz/konference_matlab/MATLAB09/
N2 - Automatic classification of schizophrenia patients and healthy controls based on their 3-D MRI deformation images is introduced here. The image data are reduced by 2DPCA to avoid high computational expenses. Consecutively, reduced data are classified into the two groups according to the centroid method or the average linkage method. The results show that the algorithm gives better results while using the average linkage method than the centroid method. The main advantage of the algorithm lies in its low memory and time requirements.
ER -
JANOUŠOVÁ, Eva, Daniel SCHWARZ and Tomáš KAŠPÁREK. Classification of 3-D MRI Images Based on Spatial Deformations in The Schizophrenia Research. In \textit{Technical Compuning Prague 2009, 17th Annual Conference Proceedings}. Praha: Humusoft s.r.o., 2009, p.~1-3. ISBN~978-80-7080-733-0.
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