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segcsvdWMH: A Convolutional Neural Network‐Based Tool for Quantifying White Matter Hyperintensities...

segcsvdWMH: A Convolutional Neural Network‐Based Tool for Quantifying White Matter Hyperintensities...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11669893

segcsvdWMH: A Convolutional Neural Network‐Based Tool for Quantifying White Matter Hyperintensities in Heterogeneous Patient Cohorts

About this item

Full title

segcsvdWMH: A Convolutional Neural Network‐Based Tool for Quantifying White Matter Hyperintensities in Heterogeneous Patient Cohorts

Publisher

Hoboken, USA: John Wiley & Sons, Inc

Journal title

Human brain mapping, 2024-12, Vol.45 (18), p.e70104-n/a

Language

English

Formats

Publication information

Publisher

Hoboken, USA: John Wiley & Sons, Inc

More information

Scope and Contents

Contents

ABSTRACT
White matter hyperintensities (WMH) of presumed vascular origin are a magnetic resonance imaging (MRI)‐based biomarker of cerebral small vessel disease (CSVD). WMH are associated with cognitive decline and increased risk of stroke and dementia, and are commonly observed in aging, vascular cognitive impairment, and neurodegenerative dise...

Alternative Titles

Full title

segcsvdWMH: A Convolutional Neural Network‐Based Tool for Quantifying White Matter Hyperintensities in Heterogeneous Patient Cohorts

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11669893

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11669893

Other Identifiers

ISSN

1065-9471,1097-0193

E-ISSN

1097-0193

DOI

10.1002/hbm.70104

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