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Ensemble Model for Diagnostic Classification of Alzheimer's Disease Based on Brain Anatomical Magnet...

Ensemble Model for Diagnostic Classification of Alzheimer's Disease Based on Brain Anatomical Magnet...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_70d85a19268548d0a66fdde9757d8c1a

Ensemble Model for Diagnostic Classification of Alzheimer's Disease Based on Brain Anatomical Magnetic Resonance Imaging

About this item

Full title

Ensemble Model for Diagnostic Classification of Alzheimer's Disease Based on Brain Anatomical Magnetic Resonance Imaging

Publisher

Switzerland: MDPI AG

Journal title

Diagnostics (Basel), 2022-12, Vol.12 (12), p.3193

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Alzheimer's is one of the fast-growing diseases among people worldwide leading to brain atrophy. Neuroimaging reveals extensive information about the brain's anatomy and enables the identification of diagnostic features. Artificial intelligence (AI) in neuroimaging has the potential to significantly enhance the treatment process for Alzheimer's dis...

Alternative Titles

Full title

Ensemble Model for Diagnostic Classification of Alzheimer's Disease Based on Brain Anatomical Magnetic Resonance Imaging

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_70d85a19268548d0a66fdde9757d8c1a

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_70d85a19268548d0a66fdde9757d8c1a

Other Identifiers

ISSN

2075-4418

E-ISSN

2075-4418

DOI

10.3390/diagnostics12123193

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