Journal article
BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities
- Abstract:
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Reliable quantification of white matter hyperintensities of presumed vascular origin (WMHs) is increasingly needed, given the presence of these MRI findings in patients with several neurological and vascular disorders, as well as in elderly healthy subjects.
We present BIANCA (Brain Intensity AbNormality Classification Algorithm), a fully automated, supervised method for WMH detection, based on the k-nearest neighbour (k-NN) algorithm. Relative to previous k-NN based segmentat...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Version of record, pdf, 1.7MB)
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(Version of record, pdf, 477.8KB)
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- Publisher copy:
- 10.1016/j.neuroimage.2016.07.018
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Authors
Funding
Bibliographic Details
- Publisher:
- Elsevier Publisher's website
- Journal:
- NeuroImage Journal website
- Volume:
- 141
- Pages:
- 191-205
- Publication date:
- 2016-07-09
- Acceptance date:
- 2016-07-07
- DOI:
- EISSN:
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1095-9572
- ISSN:
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1053-8119
- Source identifiers:
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633985
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
pubs:633985
- UUID:
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uuid:381e9561-85c7-4405-a72f-2d8d40015dd8
- Local pid:
- pubs:633985
- Deposit date:
- 2016-07-20
Terms of use
- Copyright holder:
- Griffanti et al
- Copyright date:
- 2016
- Notes:
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Copyright © 2016 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license
(http://creativecommons.org/licenses/by/4.0/).
- Licence:
- CC Attribution (CC BY)
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