Journal article
Triplanar ensemble U-Net model for white matter hyperintensities segmentation on MR images
- Abstract:
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White matter hyperintensities (WMHs) have been associated with various cerebrovascular and neurodegenerative diseases. Reliable quantification of WMHs is essential for understanding their clinical impact in normal and pathological populations. Automated segmentation of WMHs is highly challenging due to heterogeneity in WMH characteristics between deep and periventricular white matter, presence of artefacts and differences in the pathology and demographics of populations. In this work, we prop...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Version of record, 4.2MB)
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(Supplementary materials, 130.8KB)
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- Publisher copy:
- 10.1016/j.media.2021.102184
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Authors
Funding
Parkinson's UK
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Bibliographic Details
- Publisher:
- Elsevier Publisher's website
- Journal:
- Medical Image Analysis Journal website
- Volume:
- 73
- Article number:
- 102184
- Publication date:
- 2021-07-18
- Acceptance date:
- 2021-07-16
- DOI:
- EISSN:
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1361-8423
- ISSN:
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1361-8415
- Pmid:
-
34325148
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1188930
- Local pid:
- pubs:1188930
- Deposit date:
- 2022-03-15
Terms of use
- Copyright holder:
- Sundaresan et al.
- Copyright date:
- 2021
- Rights statement:
- © 2021 The Authors. Published by Elsevier B.V. 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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