2021
DOI: 10.21203/rs.3.rs-1166745/v1
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Mild Cognitive Impairment Stratification by Artificial Intelligence on FDG PET

Abstract: Purpose The purpose of this project is to develop and externally validate a Deep Learning (DL) FDG PET imaging algorithm able to identify patients with Alzheimer's Disease (AD), Frontotemporal Degeneration (FTD) and Dementia with Lewy Bodies (DLB) among a group of patients with Mild Cognitive Impairment (MCI). Methods A 3D Convolutional neural network, trained using images from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database, was implemented. The ADNI dataset used for training and testing the… Show more

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