Early detection of Alzheimer’s disease using squeeze and excitation network with local binary pattern descriptor

  • Ambily Francis
  • , S. Immanuel Alex Pandian
  • , K. Martin Sagayam
  • , Lam Dang
  • , J. Anitha
  • , Linh Dinh
  • , Marc Pomplun
  • , Hien Dang

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Article number54
JournalPattern Analysis and Applications
Volume27
Issue number2
DOIs
StatePublished - Jun 2024

ASJC Scopus Subject Areas

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

Keywords

  • Alzheimer’s disease
  • Convolutional neural network
  • Local binary pattern
  • Mild cognitive impairment convertible
  • Mild cognitive impairment non-convertible
  • Squeeze and excitation networks

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