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Automated classification of Alzheimer's disease and mild cognitive impairment using a single MRI and deep neural networks
2019
NeuroImage: Clinical
We built and validated a deep learning algorithm predicting the individual diagnosis of Alzheimer's disease (AD) and mild cognitive impairment who will convert to AD (c-MCI) based on a single cross-sectional brain structural MRI scan. Convolutional neural networks (CNNs) were applied on 3D T1-weighted images from ADNI and subjects recruited at our Institute (407 healthy controls [HC], 418 AD, 280 c-MCI, 533 stable MCI [s-MCI]). CNN performance was tested in distinguishing AD, c-MCI and s-MCI.
doi:10.1016/j.nicl.2018.101645
pmid:30584016
pmcid:PMC6413333
fatcat:vpl6w743vfdwbekpvewny7houe