Deep learning techniques for Alzheimer's disease detection in 3D imaging : A systematic review

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annif.suggestionsmachine learning|Alzheimer's disease|memory (cognition)|deep learning|imaging|magnetic resonance imaging|medicine (science)|diagnostics|dementia|neural networks (information technology)|enen
annif.suggestionsmachine learning|Alzheimer's disease|memory (cognition)|deep learning|imaging|magnetic resonance imaging|medicine (science)|diagnostics|dementia|neural networks (information technology)|enen
annif.suggestions.linkshttp://www.yso.fi/onto/yso/p21846|http://www.yso.fi/onto/yso/p8412|http://www.yso.fi/onto/yso/p2607|http://www.yso.fi/onto/yso/p39324|http://www.yso.fi/onto/yso/p3532|http://www.yso.fi/onto/yso/p12131|http://www.yso.fi/onto/yso/p469|http://www.yso.fi/onto/yso/p416|http://www.yso.fi/onto/yso/p1711|http://www.yso.fi/onto/yso/p7292en
annif.suggestions.linkshttp://www.yso.fi/onto/yso/p21846|http://www.yso.fi/onto/yso/p8412|http://www.yso.fi/onto/yso/p2607|http://www.yso.fi/onto/yso/p39324|http://www.yso.fi/onto/yso/p3532|http://www.yso.fi/onto/yso/p12131|http://www.yso.fi/onto/yso/p469|http://www.yso.fi/onto/yso/p416|http://www.yso.fi/onto/yso/p1711|http://www.yso.fi/onto/yso/p7292en
dc.contributor.authorAwang, Mohd Khalid
dc.contributor.authorAli, Ghulam
dc.contributor.authorFaheem, Muhammad
dc.contributor.authorRehman, Zia-ur
dc.contributor.facultyfi=Tekniikan ja innovaatiojohtamisen yksikkö|en=School of Technology and Innovations|-
dc.contributor.organizationfi=Vaasan yliopisto|en=University of Vaasa|
dc.date.accessioned2025-06-11T11:47:52Z
dc.date.accessioned2025-06-25T14:01:17Z
dc.date.available2025-06-11T11:47:52Z
dc.date.issued2024-09-18
dc.description.abstractAlzheimer's disease (AD) is a degenerative neurological condition that worsens over time and leads to deterioration in cognitive abilities, reduced memory, and, eventually, a decrease in overall functioning. Timely and correct identification of Alzheimer's is essential for effective treatment. The systematic study specifically examines the application of deep learning (DL) algorithms in identifying AD using three-dimensional (3D) imaging methods. The main goal is to evaluate these methods' current state, efficiency, and potential enhancements, offering valuable insights into how DL could improve AD's rapid and precise diagnosis.-
dc.description.notification© 2024 The Author(s). Health Science Reports published by Wiley Periodicals LLC. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0/-
dc.description.reviewstatusfi=vertaisarvioitu|en=peerReviewed|-
dc.format.bitstreamtrue
dc.format.contentfi=kokoteksti|en=fulltext|-
dc.format.extent13-
dc.identifier.olddbid24050
dc.identifier.oldhandle10024/19716
dc.identifier.urihttps://osuva.uwasa.fi/handle/11111/3185
dc.identifier.urnURN:NBN:fi-fe2025061166792-
dc.language.isoeng-
dc.publisherJohn Wiley & Sons-
dc.relation.doi10.1002/hsr2.70025-
dc.relation.funderUniversiti Sultan Zainal Abidin (UniSZA), Malaysia-
dc.relation.funderUniversity of Okara, Pakistan-
dc.relation.funderUniversity of Vaasa, Finland-
dc.relation.ispartofjournalHealth science reports-
dc.relation.issn2398-8835-
dc.relation.issue9-
dc.relation.urlhttps://doi.org/10.1002/hsr2.70025-
dc.relation.volume7-
dc.rightsCC BY 4.0-
dc.source.identifierWOS:001314978200001-
dc.source.identifier2-s2.0-85204577662-
dc.source.identifierhttps://osuva.uwasa.fi/handle/10024/19716
dc.subject3D imaging; supervised learning-
dc.subject.disciplinefi=Tietotekniikka|en=Computer Science|-
dc.subject.ysomachine learning-
dc.subject.ysoAlzheimer's disease-
dc.subject.ysodeep learning-
dc.titleDeep learning techniques for Alzheimer's disease detection in 3D imaging : A systematic review-
dc.type.okmfi=A2 Katsausartikkeli tieteellisessä aikakauslehdessä|en=A2 Peer-reviewed review article|sv=A2 Översiktsartikel i en vetenskaplig tidskrift|-
dc.type.publicationarticle-
dc.type.versionpublishedVersion-

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