Alzheimer's diseases detection by using deep learning algorithms: A mini-review
Authors: Al-Shoukry, S., Rassem, T.H. and Makbol, N.M.
Journal: IEEE Access
Volume: 8
Pages: 77131-77141
eISSN: 2169-3536
DOI: 10.1109/ACCESS.2020.2989396
Abstract:The accurate diagnosis of Alzheimer's disease (AD) plays an important role in patient treatment, especially at the disease's 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.
Source: Scopus
Alzheimer's Diseases Detection by Using Deep Learning Algorithms: A Mini-Review
Authors: Al-Shoukry, S., Rassem, T.H. and Makbol, N.M.
Journal: IEEE ACCESS
Volume: 8
Pages: 77131-77141
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2020.2989396
Source: Web of Science (Lite)