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@proceedings{869007,
author = {Janoušová, Eva and Schwarz, Daniel and Kašpárek, Tomáš},
booktitle = {International Society for Clinical Biostatistics},
keywords = {principal component analysis;schizophrenia;MRI;computational neuroanatomy},
language = {eng},
title = {Automatic Classification of 3-D MRI Data Sets With the Use of 2DPCA in the Schizophrenia Research},
year = {2009}
}
TY - CONF
ID - 869007
AU - Janoušová, Eva - Schwarz, Daniel - Kašpárek, Tomáš
PY - 2009
TI - Automatic Classification of 3-D MRI Data Sets With the Use of 2DPCA in the Schizophrenia Research
KW - principal component analysis;schizophrenia;MRI;computational neuroanatomy
N2 - Automatic classification of schizophrenia patients based on their 3-D MRI data is introduced here. The algorithm is built up from 2DPCA for data reduction and the k-NN or centroid classifier. The main advantage of the algorithm lies in its low memory requirements.
ER -
JANOUŠOVÁ, Eva, Daniel SCHWARZ and Tomáš KAŠPÁREK. Automatic Classification of 3-D MRI Data Sets With the Use of 2DPCA in the Schizophrenia Research. In \textit{International Society for Clinical Biostatistics}. 2009.
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