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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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Publisher copy:
10.1186/s12968-019-0523-x

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Role:
Author
ORCID:
0000-0003-3688-8331
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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
Source identifiers:
983549
Language:
English
Keywords:
Pubs id:
pubs:983549
UUID:
uuid:3a16defc-220b-4107-8f04-6333ea9a3553
Local pid:
pubs:983549
Deposit date:
2019-06-19

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