Landmark-based Deep Multi-Instance Learning for Brain Disease Diagnosis

Brain morphometric pattern analysis using structural magnetic resonance imaging (MRI) data are proven to be effective in identifying anatomical differences between populations of Alzheimer ’s disease (AD) patients and normal controls (NC), and in helping evaluate the progression of mild cognitive impairment (MCI), a prodromal stage of AD. In the literature, extensive MRI-based approaches have been developed to assist clinicians in interpreting and assessing structural changes of the brain (Jack et al., 1999; Ashburner and Friston, 2000; Cuingnet et al., 2011; Chu et al., 2012).

Source: Medical Image Analysis - October 27, 2017 Category: Radiology Authors: Mingxia Liu, Jun Zhang, Ehsan Adeli, Dinggang Shen Source Type: research