Convolutional Neural Network-based MR Image Analysis for Alzheimer's Disease Classification.

Journal: Current medical imaging reviews
Published Date: Jan 1, 2020

Abstract

BACKGROUND: In this study, we used a convolutional neural network (CNN) to classify Alzheimer's disease (AD), mild cognitive impairment (MCI), and normal control (NC) subjects based on images of the hippocampus region extracted from magnetic resonance (MR) images of the brain.

Authors

  • Boo-Kyeong Choi
    Department of Digital Anti-Aging Healthcare, u-AHRC, Inje University, Gimhae, Gyeongsangnam, Korea.
  • Nuwan Madusanka
    Department of Computer Engineering, u-AHRC, Inje University, Gimhae, Gyeongsangnam, Korea.
  • Heung-Kook Choi
    Department of Computer Engineering, u-AHRC, Inje University, Gimhae, Gyeongsangnam, Korea.
  • Jae-Hong So
    Department of Digital Anti-Aging Healthcare, u-AHRC, Inje University, Gimhae, Gyeongsangnam, Korea.
  • Cho-Hee Kim
    Department of Digital Anti-Aging Healthcare, u-AHRC, Inje University, Gimhae, Korea.
  • Hyeon-Gyun Park
    Department of Computer Engineering, u-AHRC, Inje University, Gimhae, Gyeongsangnam, Korea.
  • Subrata Bhattacharjee
    Department of Computer Engineering, u-AHRC, Inje University, Gimhae, Korea.
  • Deekshitha Prakash
    Department of Computer Engineering, u-AHRC, Inje University, Gimhae, Korea.

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