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dc.contributor.authorCohen, Laurent D.
HAL ID: 738939
dc.contributor.authorRouchdy, Youssef
dc.date.accessioned2013-12-03T13:10:32Z
dc.date.available2013-12-03T13:10:32Z
dc.date.issued2013
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/12233
dc.language.isoenen
dc.subjecttree structure segmentationen
dc.subjectminimal pathsen
dc.subjectlevel seten
dc.subjectfast marchingen
dc.subjectgeodesic votingen
dc.subject.ddc006.3en
dc.titleGeodesic voting methods: overview, extensions and application to blood vessel segmentationen
dc.typeArticle accepté pour publication ou publié
dc.description.abstractenIn this article we present new methods to segment thin tree structures, which are, for example, present in microglia extensions and cardiac or neuronal blood vessels. Many authors have used minimal cost paths, or geodesics relative to a local weighting potential P, to find a vessel pathway between two end points. We use a set of such geodesic paths to find a tubular tree structure with minimal interaction. Recently, we have introduced a set of methods called geodesic voting. In this article, we review all these methods and present some extensions. We also adapt these methods to the segmentation of complex tree structures in a noisy medium and apply them to the segmentation of blood vessels in 2D and 3D.en
dc.relation.isversionofjnlnameComputer Methods in Biomechanics and Biomedical Engineering. Imaging & Visualization
dc.relation.isversionofjnlvol1en
dc.relation.isversionofjnlissue2en
dc.relation.isversionofjnldate2013
dc.relation.isversionofjnlpages79-88en
dc.relation.isversionofdoihttp://dx.doi.org/10.1080/21681163.2013.766019en
dc.relation.isversionofjnlpublisherTaylor and Francisen
dc.subject.ddclabelIntelligence artificielleen
dc.relation.forthcomingnonen
dc.relation.forthcomingprintnonen


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