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A 3D deep learning model to predict the diagnosis of dementia with Lewy bodies, Alzheimer’s disease,...

A 3D deep learning model to predict the diagnosis of dementia with Lewy bodies, Alzheimer’s disease,...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_swepub_primary_oai_swepub_ki_se_460151

A 3D deep learning model to predict the diagnosis of dementia with Lewy bodies, Alzheimer’s disease, and mild cognitive impairment using brain 18F-FDG PET

About this item

Full title

A 3D deep learning model to predict the diagnosis of dementia with Lewy bodies, Alzheimer’s disease, and mild cognitive impairment using brain 18F-FDG PET

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

Journal title

European journal of nuclear medicine and molecular imaging, 2022-01, Vol.49 (2), p.563-584

Language

English

Formats

Publication information

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

More information

Scope and Contents

Contents

Purpose
The purpose of this study is to develop and validate a 3D deep learning model that predicts the final clinical diagnosis of Alzheimer’s disease (AD), dementia with Lewy bodies (DLB), mild cognitive impairment due to Alzheimer’s disease (MCI-AD), and cognitively normal (CN) using fluorine 18 fluorodeoxyglucose PET (18F-FDG PET) and compar...

Alternative Titles

Full title

A 3D deep learning model to predict the diagnosis of dementia with Lewy bodies, Alzheimer’s disease, and mild cognitive impairment using brain 18F-FDG PET

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_swepub_primary_oai_swepub_ki_se_460151

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_swepub_primary_oai_swepub_ki_se_460151

Other Identifiers

ISSN

1619-7070,1619-7089

E-ISSN

1619-7089

DOI

10.1007/s00259-021-05483-0