Deep Learning for Alzheimer's Disease Classification using Texture Features.

Journal: Current medical imaging reviews
Published Date: Jan 1, 2019

Abstract

BACKGROUND: We propose a classification method for Alzheimer's disease (AD) based on the texture of the hippocampus, which is the organ that is most affected by the onset of AD.

Authors

  • Jae-Hong So
    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.
  • Boo-Kyeong Choi
    Department of Digital Anti-Aging Healthcare, u-AHRC, Inje University, Gimhae, Gyeongsangnam, Korea.
  • Hyeon-Gyun Park
    Department of Computer Engineering, u-AHRC, Inje University, Gimhae, Gyeongsangnam, Korea.

Keywords

External Resources

Popular Topics
Recent Journals