Validation of an algorithm for left ventricular segmentation in 150 patients shows potential for further development towards fully automatic segmentation

Validation of an algorithm for left ventricular segmentation in 150 patients shows potential for further development towards fully automatic segmentation

Bibliographic Details
Main Authors: Tufvesson Jane, Ubachs Joey F, Steding-Ehrenborg Katarina, Carlsson Marcus, Arheden Hakan, Heiberg Einar
Format: Article
Language:English
Published: BMC 2013-01-01
Series:Journal of Cardiovascular Magnetic Resonance
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spelling doaj-d944643e1efe4c48b177ec5cea9314322020-11-24T23:13:04ZengBMCJournal of Cardiovascular Magnetic Resonance1097-66471532-429X2013-01-0115Suppl 1E3010.1186/1532-429X-15-S1-E30Validation of an algorithm for left ventricular segmentation in 150 patients shows potential for further development towards fully automatic segmentationTufvesson JaneUbachs Joey FSteding-Ehrenborg KatarinaCarlsson MarcusArheden HakanHeiberg Einar
collection DOAJ
language English
format Article
sources DOAJ
author Tufvesson Jane
Ubachs Joey F
Steding-Ehrenborg Katarina
Carlsson Marcus
Arheden Hakan
Heiberg Einar
spellingShingle Tufvesson Jane
Ubachs Joey F
Steding-Ehrenborg Katarina
Carlsson Marcus
Arheden Hakan
Heiberg Einar
Validation of an algorithm for left ventricular segmentation in 150 patients shows potential for further development towards fully automatic segmentation
Journal of Cardiovascular Magnetic Resonance
author_facet Tufvesson Jane
Ubachs Joey F
Steding-Ehrenborg Katarina
Carlsson Marcus
Arheden Hakan
Heiberg Einar
author_sort Tufvesson Jane
title Validation of an algorithm for left ventricular segmentation in 150 patients shows potential for further development towards fully automatic segmentation
title_short Validation of an algorithm for left ventricular segmentation in 150 patients shows potential for further development towards fully automatic segmentation
title_full Validation of an algorithm for left ventricular segmentation in 150 patients shows potential for further development towards fully automatic segmentation
title_fullStr Validation of an algorithm for left ventricular segmentation in 150 patients shows potential for further development towards fully automatic segmentation
title_full_unstemmed Validation of an algorithm for left ventricular segmentation in 150 patients shows potential for further development towards fully automatic segmentation
title_sort validation of an algorithm for left ventricular segmentation in 150 patients shows potential for further development towards fully automatic segmentation
publisher BMC
series Journal of Cardiovascular Magnetic Resonance
issn 1097-6647
1532-429X
publishDate 2013-01-01
work_keys_str_mv AT tufvessonjane validationofanalgorithmforleftventricularsegmentationin150patientsshowspotentialforfurtherdevelopmenttowardsfullyautomaticsegmentation
AT ubachsjoeyf validationofanalgorithmforleftventricularsegmentationin150patientsshowspotentialforfurtherdevelopmenttowardsfullyautomaticsegmentation
AT stedingehrenborgkatarina validationofanalgorithmforleftventricularsegmentationin150patientsshowspotentialforfurtherdevelopmenttowardsfullyautomaticsegmentation
AT carlssonmarcus validationofanalgorithmforleftventricularsegmentationin150patientsshowspotentialforfurtherdevelopmenttowardsfullyautomaticsegmentation
AT arhedenhakan validationofanalgorithmforleftventricularsegmentationin150patientsshowspotentialforfurtherdevelopmenttowardsfullyautomaticsegmentation
AT heibergeinar validationofanalgorithmforleftventricularsegmentationin150patientsshowspotentialforfurtherdevelopmenttowardsfullyautomaticsegmentation
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