Construction of MRI-Based Alzheimer's Disease Score Based on Efficient 3D Convolutional Neural Network: Comprehensive Validation on 7,902 Images from a Multi-Center Dataset.

Journal: Journal of Alzheimer's disease : JAD
Published Date: Jan 1, 2021

Abstract

BACKGROUND: In recent years, many convolutional neural networks (CNN) have been proposed for the classification of Alzheimer's disease. Due to memory constraints, many of the proposed CNNs work at a 2D slice-level or 3D patch-level.

Authors

  • Evangeline Yee
    School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada.
  • Da Ma
    School of Engineering Science, Simon Fraser University, Burnaby, Canada.
  • Karteek Popuri
    Simon Fraser University, School of Engineering Science, Burnaby BC V5A 1S6, Canada.
  • Lei Wang
    Department of Nursing, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
  • Mirza Faisal Beg
    School of Engineering Science, Simon Fraser University, Burnaby, Canada.

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