Subject-centered multi-view feature fusion for neuroimaging retrieval and classification

Abstract

Multi-View neuroimaging retrieval and classification play an important role in computer-aided-diagnosis of brain disorders, as multi-view features could provide more insights of the disease pathology and potentially lead to more accurate diagnosis than single-view features. The large inter-feature and inter-subject variations make the multi-view… (More)
DOI: 10.1109/ICIP.2015.7351253

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