Log in to save to my catalogue

Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generat...

Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generat...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1622605532

Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templates

About this item

Full title

Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templates

Publisher

United States: Elsevier Inc

Journal title

NeuroImage (Orlando, Fla.), 2014-11, Vol.101, p.494-512

Language

English

Formats

Publication information

Publisher

United States: Elsevier Inc

More information

Scope and Contents

Contents

Advances in image segmentation of magnetic resonance images (MRI) have demonstrated that multi-atlas approaches improve segmentation over regular atlas-based approaches. These approaches often rely on a large number of manually segmented atlases (e.g. 30–80) that take significant time and expertise to produce. We present an algorithm, MAGeT-Brain (...

Alternative Titles

Full title

Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templates

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_1622605532

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1622605532

Other Identifiers

ISSN

1053-8119

E-ISSN

1095-9572

DOI

10.1016/j.neuroimage.2014.04.054

How to access this item