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Alzheimer’s Disease Prediction Using Deep Feature Extraction and Optimization

Alzheimer’s Disease Prediction Using Deep Feature Extraction and Optimization

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6a5714f354de4064b35b554006538c0c

Alzheimer’s Disease Prediction Using Deep Feature Extraction and Optimization

About this item

Full title

Alzheimer’s Disease Prediction Using Deep Feature Extraction and Optimization

Publisher

Basel: MDPI AG

Journal title

Mathematics (Basel), 2023-08, Vol.11 (17), p.3712

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Alzheimer’s disease (AD) is a prevalent neurodegenerative disorder that affects a substantial proportion of the population. The accurate and timely prediction of AD carries considerable importance in enhancing the diagnostic process and improved treatment. This study provides a thorough examination of AD prediction using the VGG19 deep learning mod...

Alternative Titles

Full title

Alzheimer’s Disease Prediction Using Deep Feature Extraction and Optimization

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_6a5714f354de4064b35b554006538c0c

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6a5714f354de4064b35b554006538c0c

Other Identifiers

ISSN

2227-7390

E-ISSN

2227-7390

DOI

10.3390/math11173712

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