Support vector machine classification of dimensionally reduced structural MRI images for dementia

25 Jun 2014 V. A. Miller S. Erlien J. Piersol

We classify very-mild to moderate dementia in patients (CDR ranging from 0 to 2) using a support vector machine classifier acting on dimensionally reduced feature set derived from MRI brain scans of the 416 subjects available in the OASIS-Brains dataset. We use image segmentation and principal component analysis to reduce the dimensionality of the data... (read more)

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