Improving Alzheimer's stage categorization with Convolutional Neural Network using transfer learning and different magnetic resonance imaging modalities

Improving Alzheimer's stage categorization with Convolutional Neural Network using transfer learning and different magnetic resonance imaging modalities

Background: Alzheimer's Disease (AD) is a neurodegenerative disease characterized by progressive loss of memory and general decline in cognitive functions. Multi-modal imaging such as structural MRI and DTI provide useful information for the classification of patients on the basis of brain biom...

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Bibliographic Details
Main Authors: Karim Aderghal, Karim Afdel, Jenny Benois-Pineau, Gwénaëlle Catheline
Format: Article
Language:English
Published: Elsevier 2020-12-01
Series:Heliyon
Subjects:
Alzheimer's Disease
Magnetic Resonance Imaging (MRI)
Diffusion Tensor Imaging (DTI)
Multi-modality
Image classification
Convolutional Neural Network (CNN)
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844020324956

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http://www.sciencedirect.com/science/article/pii/S2405844020324956

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