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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 studies h...

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Main Authors: Al-Shoukry, Suhad, Rassem, Taha H., Makbol, Nasrin M.
Format: Article
Language:English
English
Published: IEEE 2020
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
Online Access:http://umpir.ump.edu.my/id/eprint/28454/1/09075205.pdf
http://umpir.ump.edu.my/id/eprint/28454/7/Alzheimer%27s%20diseases%20detection%20by%20using%20deep%20learning%20algorithms.pdf
http://umpir.ump.edu.my/id/eprint/28454/
https://doi.org/10.1109/ACCESS.2020.2989396
https://doi.org/10.1109/ACCESS.2020.2989396
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spelling my.ump.umpir.284542020-07-14T02:10:25Z http://umpir.ump.edu.my/id/eprint/28454/ Alzheimer's diseases detection by using deep learning algorithms: a mini-review Al-Shoukry, Suhad Rassem, Taha H. Makbol, Nasrin M. QA75 Electronic computers. Computer science 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 2020-04-21 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/28454/1/09075205.pdf pdf en http://umpir.ump.edu.my/id/eprint/28454/7/Alzheimer%27s%20diseases%20detection%20by%20using%20deep%20learning%20algorithms.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. 77131 - 77141. ISSN 2169-3536 https://doi.org/10.1109/ACCESS.2020.2989396 https://doi.org/10.1109/ACCESS.2020.2989396
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic QA75 Electronic computers. Computer science
QA76 Computer software
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
Al-Shoukry, Suhad
Rassem, Taha H.
Makbol, Nasrin M.
Alzheimer's diseases detection by using deep learning algorithms: a mini-review
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.
format Article
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
title 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_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_sort alzheimer's diseases detection by using deep learning algorithms: a mini-review
publisher IEEE
publishDate 2020
url http://umpir.ump.edu.my/id/eprint/28454/1/09075205.pdf
http://umpir.ump.edu.my/id/eprint/28454/7/Alzheimer%27s%20diseases%20detection%20by%20using%20deep%20learning%20algorithms.pdf
http://umpir.ump.edu.my/id/eprint/28454/
https://doi.org/10.1109/ACCESS.2020.2989396
https://doi.org/10.1109/ACCESS.2020.2989396
_version_ 1672610897207492608
score 13.211869

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