Automatic Classification of 3-D MRI Data Sets With the Use of 2DPCA in the Schizophrenia Research
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 International Society for Clinical Biostatistics. 2009. |
Other formats:
BibTeX
LaTeX
RIS
|
Basic information | |
---|---|
Original name | Automatic Classification of 3-D MRI Data Sets With the Use of 2DPCA in the Schizophrenia Research |
Name in Czech | Automatická klasifikace 3-D dat z magnetické rezonance s využitím 2DPCA ve výzkumu schizofrenie |
Authors | JANOUŠOVÁ, Eva, Daniel SCHWARZ and Tomáš KAŠPÁREK. |
Edition | International Society for Clinical Biostatistics, 2009. |
Other information | |
---|---|
Original language | English |
Type of outcome | Conference abstract |
Field of Study | 20200 2.2 Electrical engineering, Electronic engineering, Information engineering |
Country of publisher | Czech Republic |
Confidentiality degree | is not subject to a state or trade secret |
Organization unit | Faculty of Medicine |
Keywords in English | principal component analysis;schizophrenia;MRI;computational neuroanatomy |
Tags | computational neuroanatomy, MRI, principal component analysis, schizophrenia |
Changed by | Changed by: RNDr. Eva Koriťáková, Ph.D., učo 184380. Changed: 26/1/2010 21:55. |
Abstract |
---|
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. |
Abstract (in Czech) |
---|
Článek se zabývá automatickou klasifikací 3-D MR obrazových dat pacientů se schizofrenií. Algoritmus se skládá z 2DPCA sloužící k redukci dat a z k-NN nebo centroidového klasifikátoru. Hlavním přínosem algoritmu jsou jeho nízké nároky na paměť. |
Links | |
---|---|
NS10347, research and development project | Name: Moderní metody rozpoznávání pro analýzu obrazových dat v neuropsychiatrickém výzkumu |
Investor: Ministry of Health of the CR | |
NS9893, research and development project | Name: Predikce průběhu iniciálních fází schizofrenie pomocí morfologie mozku |
Investor: Ministry of Health of the CR |
PrintDisplayed: 30/9/2024 14:57