Log in to save to my catalogue

Binary classification of 18F-flutemetamol PET using machine learning: Comparison with visual reads a...

Binary classification of 18F-flutemetamol PET using machine learning: Comparison with visual reads a...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1500768552

Binary classification of 18F-flutemetamol PET using machine learning: Comparison with visual reads and structural MRI

About this item

Full title

Binary classification of 18F-flutemetamol PET using machine learning: Comparison with visual reads and structural MRI

Publisher

Amsterdam: Elsevier Inc

Journal title

NeuroImage (Orlando, Fla.), 2013-01, Vol.64, p.517-525

Language

English

Formats

Publication information

Publisher

Amsterdam: Elsevier Inc

More information

Scope and Contents

Contents

18F-flutemetamol is a positron emission tomography (PET) tracer for in vivo amyloid imaging. The ability to classify amyloid scans in a binary manner as ‘normal’ versus ‘Alzheimer-like’, is of high clinical relevance. We evaluated whether a supervised machine learning technique, support vector machines (SVM), can replicate the assignments made by v...

Alternative Titles

Full title

Binary classification of 18F-flutemetamol PET using machine learning: Comparison with visual reads and structural MRI

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_1500768552

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1500768552

Other Identifiers

ISSN

1053-8119

E-ISSN

1095-9572

DOI

10.1016/j.neuroimage.2012.09.015

How to access this item