Journal article
Automated quality control in image segmentation: application to the UK Biobank cardiovascular magnetic resonance imaging study
- Abstract:
-
Background The trend towards large-scale studies including population imaging poses new challenges in terms of quality control (QC). This is a particular issue when automatic processing tools such as image segmentation methods are employed to derive quantitative measures or biomarkers for further analyses. Manual inspection and visual QC of each segmentation result is not feasible at large scale. However, it is important to be able to automatically detect when a segmentati...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Funding
Bibliographic Details
- Publisher:
- BioMed Central Publisher's website
- Journal:
- Journal of Cardiovascular Magnetic Resonance Journal website
- Volume:
- 21
- Issue:
- 1
- Article number:
- 18
- Publication date:
- 2019-03-14
- Acceptance date:
- 2019-02-04
- DOI:
- EISSN:
-
1532-429X
- ISSN:
-
1097-6647
- Pmid:
-
30866968
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
pubs:983549
- UUID:
-
uuid:3a16defc-220b-4107-8f04-6333ea9a3553
- Local pid:
- pubs:983549
- Source identifiers:
-
983549
- Deposit date:
- 2019-06-19
Terms of use
- Copyright holder:
- Robinson, R et al
- Copyright date:
- 2019
- Notes:
- Copyright © 2019 The Authors. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
- Licence:
- CC Attribution (CC BY)
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