Comparison of Feature Selection Techniques in Machine Learning for Anatomical Brain MRI in Dementia

Abstract

We present a comparative split-half resampling analysis of various data driven feature selection and classification methods for the whole brain voxel-based classification analysis of anatomical magnetic resonance images. We compared support vector machines (SVMs), with or without filter based feature selection, several embedded feature selection methods and… (More)
DOI: 10.1007/s12021-015-9292-3

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Cite this paper

@article{Tohka2015ComparisonOF, title={Comparison of Feature Selection Techniques in Machine Learning for Anatomical Brain MRI in Dementia}, author={Jussi Tohka and Elaheh Moradi and Heikki Huttunen}, journal={Neuroinformatics}, year={2015}, volume={14}, pages={279-296} }