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Fully convolutional network ensembles for white matter hyperintensities segmentation in MR images

Fully convolutional network ensembles for white matter hyperintensities segmentation in MR images

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2091235929

Fully convolutional network ensembles for white matter hyperintensities segmentation in MR images

About this item

Full title

Fully convolutional network ensembles for white matter hyperintensities segmentation in MR images

Publisher

United States: Elsevier Inc

Journal title

NeuroImage (Orlando, Fla.), 2018-12, Vol.183, p.650-665

Language

English

Formats

Publication information

Publisher

United States: Elsevier Inc

More information

Scope and Contents

Contents

White matter hyperintensities (WMH) are commonly found in the brains of healthy elderly individuals and have been associated with various neurological and geriatric disorders. In this paper, we present a study using deep fully convolutional network and ensemble models to automatically detect such WMH using fluid attenuation inversion recovery (FLAI...

Alternative Titles

Full title

Fully convolutional network ensembles for white matter hyperintensities segmentation in MR images

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_2091235929

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2091235929

Other Identifiers

ISSN

1053-8119

E-ISSN

1095-9572

DOI

10.1016/j.neuroimage.2018.07.005

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