Segmentation of Hippocampus in MRI Data

but.event.date23.04.2015cs
but.event.titleStudent EEICT 2015cs
dc.contributor.authorKodym, O.
dc.date.accessioned2015-08-25T08:42:48Z
dc.date.available2015-08-25T08:42:48Z
dc.date.issued2015cs
dc.description.abstractThis project deals with application of graph-based methods in segmentation of low contrast image data, specifically hippocampus in MRI data. Using graph cuts for the segmentation allows the software to utilize high accuracy, robustness and an ability to interact with the user.en
dc.formattextcs
dc.format.extent71-73cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings of the 21st Conference STUDENT EEICT 2015. s. 71-73. ISBN 978-80-214-5148-3cs
dc.identifier.isbn978-80-214-5148-3
dc.identifier.urihttp://hdl.handle.net/11012/42934
dc.language.isocscs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings of the 21st Conference STUDENT EEICT 2015en
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.subjectGraph theoryen
dc.subjectGraph cuten
dc.subjectMin-cut/Max-flow theoremen
dc.subjectHippocampus segmentationen
dc.titleSegmentation of Hippocampus in MRI Dataen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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