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

Warning

This publication doesn't include Faculty of Arts. It includes Faculty of Medicine. Official publication website can be found on muni.cz.

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