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DC FieldValueLanguage
dc.contributor.advisorUeberle, Friedrich-
dc.contributor.authorShah, Jainam
dc.date.accessioned2020-09-29T11:51:22Z-
dc.date.available2020-09-29T11:51:22Z-
dc.date.created2012
dc.date.issued2013-02-18
dc.identifier.urihttp://hdl.handle.net/20.500.12738/6053-
dc.description.abstractThe main objective of this thesis was to construct and validate an image processing framework which automatically detects and quantifies multiple sclerosis (MS) lesions in white matter based on high resolution T1-weighted magnetic resonance (MR) images.en
dc.language.isodede
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/-
dc.subject.ddc610 Medizin, Gesundheit
dc.titleCharacterization of White Matter Damage in Multiple Sclerosis using Volumetry and Voxelbased Morphometryde
dc.typeThesis
openaire.rightsinfo:eu-repo/semantics/openAccess
thesis.grantor.departmentDepartment Medizintechnik
thesis.grantor.placeHamburg
thesis.grantor.universityOrInstitutionHochschule für angewandte Wissenschaften Hamburg
tuhh.contributor.refereeSpies, Lothar-
tuhh.gvk.ppn736379207
tuhh.identifier.urnurn:nbn:de:gbv:18302-reposit-60558-
tuhh.note.externpubl-mit-pod
tuhh.note.intern1
tuhh.oai.showtrueen_US
tuhh.opus.id1987
tuhh.publication.instituteDepartment Medizintechnik
tuhh.type.opusMasterarbeit-
dc.subject.gndBildgebendes Verfahren
dc.subject.gndMultiple Sklerose
dc.type.casraiSupervised Student Publication-
dc.type.dinimasterThesis-
dc.type.drivermasterThesis-
dc.type.statusinfo:eu-repo/semantics/publishedVersion
dc.type.thesismasterThesis
dcterms.DCMITypeText-
tuhh.dnb.statusdomain-
item.creatorGNDShah, Jainam-
item.fulltextWith Fulltext-
item.creatorOrcidShah, Jainam-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.advisorGNDUeberle, Friedrich-
item.languageiso639-1de-
item.openairecristypehttp://purl.org/coar/resource_type/c_46ec-
item.openairetypeThesis-
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