Survey Based Study: Classification of Patients with Alzheimer’s Disease

  • Shaimaa A. Al-Majeed Computer Science Department, Collage of Science, University of Baghdad, Baghdad, Iraq
  • Mohammed S. H. Al- Tamimi Computer Science Department, Collage of Science, University of Baghdad, Baghdad, Iraq
Keywords: Alzheimer's Disease, Neuroimaging, Magnetic Resonance Images, ADNI, OASIS

Abstract

 Neuroimaging is a description, whether in two-dimensions (2D) or three-dimensions (3D), of the structure and functions of the brain. Neuroimaging provides a valuable diagnostic tool, in which a limited approach is used to create images of the focal sensory system by medicine professionals. For the clinical diagnosis of patients with Alzheimer's Disease (AD) or Mild Cognitive Impairs (MCI), the accurate identification of patients from normal control persons (NCs) is critical. Recently, numerous researches have been undertaken on the identification of AD based on neuroimaging data, including images with radiographs and algorithms for master learning. In the previous decade, these techniques were also used slowly to differentiate AD and MCI symptoms from structure classification methods. This review focuses on neuroimaging studies conducted to detect and classify AD, through a survey based on Google Scholar content. We explore the challenges of this field and evaluate the performance of these studies along with their negative aspects.

Published
2020-11-28
How to Cite
Al-Majeed, S. A., & Al- Tamimi, M. S. H. (2020). Survey Based Study: Classification of Patients with Alzheimer’s Disease. Iraqi Journal of Science, 61(11), 3104-3126. https://doi.org/10.24996/ijs.2020.61.11.31
Section
Computer Science