Medical Image Segmentation Based on Graph Cut with Shape Prior

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but.event.date28.04.2016cs
but.event.titleStudent EEICT 2016cs
dc.contributor.authorKozlová, Dominika
dc.date.accessioned2018-07-10T12:48:09Z
dc.date.available2018-07-10T12:48:09Z
dc.date.issued2016cs
dc.description.abstractThis paper deals with a graph-based image segmentation and its improvement by using the information about the shape of the object for creating specific graph architecture (template). Improved method allows the cut to prefer more complicated structures, especially when the image contains a lot of noise and the object is hardly indistinguishable from the background. Algorithm was tested on simulated data and real CT and MRI images of vertebra and brain in 2D. Method was also extended to 3D further purposes.en
dc.formattextcs
dc.format.extent50-52cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings of the 22nd Conference STUDENT EEICT 2016. s. 50-52. ISBN 978-80-214-5350-0cs
dc.identifier.isbn978-80-214-5350-0
dc.identifier.urihttp://hdl.handle.net/11012/83870
dc.language.isocscs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings of the 22nd Conference STUDENT EEICT 2016en
dc.relation.urihttp://www.feec.vutbr.cz/EEICT/cs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectMedical image segmentationen
dc.subjectGraph theoryen
dc.subjectGraph cuten
dc.subjectTemplateen
dc.titleMedical Image Segmentation Based on Graph Cut with Shape Prioren
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs

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