Deep learning based diagnosis of Alzheimer's disease using FDG-PET images.

Journal: Neuroscience letters
Published Date:

Abstract

PURPOSE: The aim of this study is to develop a deep neural network to diagnosis Alzheimer's disease and categorize the stages of the disease using FDG-PET scans. Fluorodeoxyglucose positron emission tomography (FDG-PET) is a highly effective diagnostic tool that accurately detects glucose metabolism in the brain of AD patients.

Authors

  • Nand Kishore
    Department of Information Technology, University Institute of Engineering & Technology, Panjab University, Chandigarh 160014, India.
  • Neelam Goel