Identifying Multivariate Imaging Patterns: Supervised, Semi-Supervised, and Unsupervised Learning Perspectives
Roman Filipovych, Bilwaj Gaonkar and Christos Davatzikos, Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
Abstract
One of the limitations of conventional mass-univariate group analyzes using voxel-wise statistical tests is their inability to provide sensitive and specific markers of diseases on an individual basis, and thus to serve as diagnostic and prognostic tools. Recent advances in machine learning methods and their applications to neuroimaging studies have shown that multivariate imaging patterns have the potential to identify and predict diagnoses ...
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