Heliyon
Volume 6, Issue 12, December 2020, e05652
Research articleImproving Alzheimer's stage categorization with Convolutional Neural Network using transfer learning and different magnetic resonance imaging modalities
Under a Creative Commons license
open access
Keywords
Alzheimer's Disease
Magnetic Resonance Imaging (MRI)
Diffusion Tensor Imaging (DTI)
Multi-modality
Image classification
Convolutional Neural Network (CNN)
Transfer learning
Applied computing
Applied computing in medical science
Computing methodology
Artificial intelligence
Signal processing
Image processing
Medical imaging
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Data used in preparation of this article were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database (http://adni.loni.usc.edu). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found at: http://adni.loni.usc.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf.
© 2020 The Authors. Published by Elsevier Ltd.