First-episode schizofrenia classification with the use of MRI brain image deformations

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Authors	SCHWARZ Daniel JANOUŠOVÁ Eva KAŠPÁREK Tomáš
Year of publication	2010
Type	Conference abstract
MU Faculty or unit	Faculty of Medicine
Citation
Description	Deformation-based morphometry (DBM) has been used to uncover structural inter-group differences in MRI-based neuropsychiatric studies recently. We use 3-D deformation fields resulting from cross-subject registrations to construct classifiers which are able to recognize first-episode schizophrenia patients from healthy controls. The k-Nearest Neighbors (k-NN) and the Support Vector Machines (SVM) classification methods are compared in terms of their sensitivity, specificity and overall accuracy.
Related projects:	Predikace průběhu iniciálních fází schizofrenie pomocí morfologie mozku Moderní metody rozpoznávání pro analýzu obrazových dat v neuropsychiatrickém výzkumu