Left ventricular segmentation challenge from cardiac MRI: A collation study

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dc.contributor.author Suinesiaputra, Avan en
dc.contributor.author Cowan, Brett en
dc.contributor.author Finn, JP en
dc.contributor.author Fonseca, CG en
dc.contributor.author Kadish, AH en
dc.contributor.author Lee, DC en
dc.contributor.author Medrano Gracia, Pau en
dc.contributor.author Warfield, SK en
dc.contributor.author Tao, W en
dc.contributor.author Young, Alistair en
dc.coverage.spatial Toronto, Canada en
dc.date.accessioned 2012-05-29T03:13:38Z en
dc.date.issued 2011 en
dc.identifier.citation STACOM 2011, Toronto, Canada, 22 Sep 2011 - 22 Sep 2011. LNCS. Springer-Verlag Berlin Heidelberg. 7085 LNCS: 88-97. 22 Sep 2011 en
dc.identifier.issn 0302-9743 en
dc.identifier.uri http://hdl.handle.net/2292/18707 en
dc.description.abstract This paper presents collated results from the left ventricular (LV) cardiac MRI segmentation challenge as part of STACOM'11. Clinical cases from patients with myocardial infarction (100 test and 100 validation cases) were randomly selected from the Cardiac Atlas Project (CAP) database. Two independent sets of expert (manual) segmentation from different sources that are available from the CAP database were included in this study. Automated segmentations from five groups were contributed in the challenge. The total number of cases with segmentations from all seven raters was 18. For these cases, a ground truth "consensus" segmentation was estimated based on all raters using an Expectation-Maximization (EM) method (the STAPLE algorithm). en
dc.publisher Springer-Verlag en
dc.relation.ispartof 2nd International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2011 en
dc.relation.ispartofseries Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.title Left ventricular segmentation challenge from cardiac MRI: A collation study en
dc.type Conference Item en
dc.identifier.doi 10.1007/978-3-642-28326-0_9 en
pubs.begin-page 88 en
pubs.volume 7085 LNCS en
dc.rights.holder Copyright: The Authors en
pubs.author-url http://www.cardiacatlas.org/c/document_library/get_file?uuid=bb6a103f-3a0f-4ce0-8b01-e31966885319&groupId=10136 en
pubs.end-page 97 en
pubs.finish-date 2011-09-22 en
pubs.start-date 2011-09-22 en
dc.rights.accessrights http://purl.org/eprint/accessRights/RestrictedAccess en
pubs.subtype Proceedings en
pubs.elements-id 273450 en
pubs.org-id Bioengineering Institute en
pubs.org-id ABI Associates en
pubs.org-id Medical and Health Sciences en
pubs.org-id Medical Sciences en
pubs.org-id Anatomy and Medical Imaging en
dc.identifier.eissn 1611-3349 en
pubs.record-created-at-source-date 2012-08-29 en

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