Research Area:  Machine Learning

Abstract:

The accurate diagnosis of Alzheimers disease (AD) plays an important role in patient treatment, especially at the diseases early stages, because risk awareness allows the patients to undergo preventive measures even before the occurrence of irreversible brain damage. Although many recent studies have used computers to diagnose AD, most machine detection methods are limited by congenital observations. AD can be diagnosed-but not predicted-at its early stages, as prediction is only applicable before the disease manifests itself. Deep Learning (DL) has become a common technique for the early diagnosis of AD. Here, we briefly review some of the important literature on AD and explore how DL can help researchers diagnose the disease at its early stages.

Keywords:  
Dementia
Magnetic resonance imaging
Brain
Single photon emission computed tomography
Biomedical imaging

Author(s) Name:  Suhad Al-Shoukry; Taha H. Rassem; Nasrin M. Mak

Publisher name:  IEEE

DOI:  10.1109/ACCESS.2020.2989396

Volume Information:  Volume 8

Paper Link:   https://ieeexplore.ieee.org/abstract/document/9075205