Comparison of feature representations in MRI-based MCI-to-AD conversion prediction

Alzheimer's disease (AD) is a progressive neurological disorder in which the death of brain cells causes memory loss and cognitive decline. The identification of at-risk subjects yet showing no dementia symptoms but who will later convert to AD can be crucial for the effective treatment of AD. For this, Magnetic Resonance Imaging (MRI) is expected to play a crucial role. During recent years, several Machine Learning (ML) approaches to AD-conversion prediction have been proposed using different types of MRI features.

Source: Magnetic Resonance Imaging - March 9, 2018 Category: Radiology Authors: Marta G ómez-Sancho, Jussi Tohka, Vanessa Gómez-Verdejo, for the Alzheimer's Disease Neuroimaging Initiative Tags: Original contribution Source Type: research