Alzheimer’s diseases detection by using deep learning algorithms: A mini-review

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...

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Main Authors: Al-Shoukry, Suhad, Rassem, Taha H., Makbol, Nasrin M.
Format: Article
Language:English
Published: IEEE 2020
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/39265/
http://umpir.ump.edu.my/id/eprint/39265/1/Alzheimers%20diseases%20detection%20by%20using%20deep%20learning%20algorithms_FULL.pdf
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author Al-Shoukry, Suhad
Rassem, Taha H.
Makbol, Nasrin M.
author_facet Al-Shoukry, Suhad
Rassem, Taha H.
Makbol, Nasrin M.
author_sort Al-Shoukry, Suhad
building UMP Institutional Repository
collection Online Access
description 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.
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spelling ump-392652023-11-10T01:00:41Z http://umpir.ump.edu.my/id/eprint/39265/ Alzheimer’s diseases detection by using deep learning algorithms: A mini-review Al-Shoukry, Suhad Rassem, Taha H. Makbol, Nasrin M. QA76 Computer software 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. IEEE 2020-04 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/39265/1/Alzheimers%20diseases%20detection%20by%20using%20deep%20learning%20algorithms_FULL.pdf Al-Shoukry, Suhad and Rassem, Taha H. and Makbol, Nasrin M. (2020) Alzheimer’s diseases detection by using deep learning algorithms: A mini-review. IEEE Access, 8 (9075205). 77131 -77141. ISSN 2169-3536. (Published) https://doi.org/10.1109/ACCESS.2020.2989396 https://doi.org/10.1109/ACCESS.2020.2989396
spellingShingle QA76 Computer software
Al-Shoukry, Suhad
Rassem, Taha H.
Makbol, Nasrin M.
Alzheimer’s diseases detection by using deep learning algorithms: A mini-review
title Alzheimer’s diseases detection by using deep learning algorithms: A mini-review
title_full Alzheimer’s diseases detection by using deep learning algorithms: A mini-review
title_fullStr Alzheimer’s diseases detection by using deep learning algorithms: A mini-review
title_full_unstemmed Alzheimer’s diseases detection by using deep learning algorithms: A mini-review
title_short Alzheimer’s diseases detection by using deep learning algorithms: A mini-review
title_sort alzheimer’s diseases detection by using deep learning algorithms: a mini-review
topic QA76 Computer software
url http://umpir.ump.edu.my/id/eprint/39265/
http://umpir.ump.edu.my/id/eprint/39265/
http://umpir.ump.edu.my/id/eprint/39265/
http://umpir.ump.edu.my/id/eprint/39265/1/Alzheimers%20diseases%20detection%20by%20using%20deep%20learning%20algorithms_FULL.pdf