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dc.contributor.authorCohen, Laurent D.
dc.contributor.authorRouchdy, Youssef
dc.date.accessioned2012-06-05T12:39:10Z
dc.date.available2012-06-05T12:39:10Z
dc.date.issued2012
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/9351
dc.language.isoenen
dc.subjectretinal blood vessel segmentationen
dc.subjecttree structure segmentationen
dc.subjectminimal pathsen
dc.subjectFast Marchingen
dc.subjectGeodesic votingen
dc.subject.ddc006.3en
dc.titleRetinal blood vessel segmentation using geodesic voting methodsen
dc.typeCommunication / Conférence
dc.description.abstractenMethods to segment retinal blood vessels are presented. Many authors have used minimal cost paths, or similarly geodesics relative to a weight potential P , to find a vessel pathway between two end points. We focus on the use of a set of such geodesic paths to extract retinal blood vessels, using minimal interaction. The approach consists in com- puting geodesics from a set of end points scattered in the image in such way that there is a high geodesic density on the vessels. This geodesic density is used to approximate the centerlines and walls of the vessels. The methods were applied to segment blood vessels from images of the retina.en
dc.identifier.citationpages4en
dc.identifier.citationpages744-747
dc.relation.ispartoftitle9th International Symposium on Biomedical Imaging (ISBI), 2012 IEEE
dc.relation.ispartofpublnameIEEE
dc.relation.ispartofdate2012
dc.description.sponsorshipprivateouien
dc.subject.ddclabelIntelligence artificielleen
dc.relation.ispartofisbn978-1-4577-1857-1
dc.relation.conftitleISBI 2012en
dc.relation.confdate2012-05
dc.relation.confcityBarceloneen
dc.relation.confcountryEspagneen
dc.identifier.doihttp://dx.doi.org/10.1109/ISBI.2012.6235655


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