Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation
Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation
About this item
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Publisher
United States: Elsevier Inc
Journal title
Language
English
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Publication information
Publisher
United States: Elsevier Inc
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Scope and Contents
Contents
•Classifyber is a novel supervised method to classify single streamlines for white matter bundle segmentation.•Classifyber reaches unprecedented quality of bundle segmentation.•Differently from the literature, Classifyber is robust to diverse settings: large vs small bundles, probabilistic vs deterministic tracking, and research vs clinical data qu...
Alternative Titles
Full title
Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_8889caff0b464aa4aed1c5c495033f1b
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8889caff0b464aa4aed1c5c495033f1b
Other Identifiers
ISSN
1053-8119
E-ISSN
1095-9572
DOI
10.1016/j.neuroimage.2020.117402
