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Computer-aided extraction of select MRI markers of cerebral small vessel disease: A systematic revie...

Computer-aided extraction of select MRI markers of cerebral small vessel disease: A systematic revie...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f662f09e8f1243b097b41404d80b30be

Computer-aided extraction of select MRI markers of cerebral small vessel disease: A systematic review

About this item

Full title

Computer-aided extraction of select MRI markers of cerebral small vessel disease: A systematic review

Publisher

Amsterdam: Elsevier Inc

Journal title

NeuroImage (Orlando, Fla.), 2022-11, Vol.261, p.119528-119528, Article 119528

Language

English

Formats

Publication information

Publisher

Amsterdam: Elsevier Inc

More information

Scope and Contents

Contents

•Methods for extracting cerebral small vessel disease lesions from MRI were reviewed.•The prevalence of lesions has limited training sample sizes.•Transfer learning and weak supervision are promising methods.•There have not been any generalisable toolboxes.•Pooling data from different sources can increase data size and diversity.
Cerebral small...

Alternative Titles

Full title

Computer-aided extraction of select MRI markers of cerebral small vessel disease: A systematic review

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_f662f09e8f1243b097b41404d80b30be

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f662f09e8f1243b097b41404d80b30be

Other Identifiers

ISSN

1053-8119

E-ISSN

1095-9572

DOI

10.1016/j.neuroimage.2022.119528

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