A Novel Unsupervised Segmentation Approach Quantifies Tumor Tissue Populations Using Multiparametric MRI: First Results with Histological Validation

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dc.contributor.author Katiyar, Prateek
dc.contributor.author Divine, Mathew Ryan
dc.contributor.author Kohlhofer, Ursula
dc.contributor.author Disselhorst, Jonathan A.
dc.contributor.author Schölkopf, Bernhard
dc.contributor.author Quintanilla-Martinez, Leticia
dc.contributor.author Pichler, Bernd
dc.date.accessioned 2018-02-05T15:48:18Z
dc.date.available 2018-02-05T15:48:18Z
dc.date.issued 2017
dc.identifier.issn 1860-2002
dc.identifier.uri http://hdl.handle.net/10900/80102
dc.language.iso en de_DE
dc.publisher Springer de_DE
dc.relation.uri http://dx.doi.org/10.1007/s11307-016-1009-y de_DE
dc.rights info:eu-repo/semantics/closedAccess
dc.subject.ddc 610 de_DE
dc.title A Novel Unsupervised Segmentation Approach Quantifies Tumor Tissue Populations Using Multiparametric MRI: First Results with Histological Validation de_DE
dc.type Article de_DE
utue.quellen.id 20170815222223_00702
utue.publikation.seiten 391-397 de_DE
utue.personen.roh Katiyar, Prateek
utue.personen.roh Divine, Mathew R.
utue.personen.roh Kohlhofer, Ursula
utue.personen.roh Quintanilla-Martinez, Leticia
utue.personen.roh Schoelkopf, Bernhard
utue.personen.roh Pichler, Bernd J.
utue.personen.roh Disselhorst, Jonathan A.
dcterms.isPartOf.ZSTitelID Molecular Imaging and Biology de_DE
dcterms.isPartOf.ZS-Issue 3 de_DE
dcterms.isPartOf.ZS-Volume 19 de_DE
utue.fakultaet 04 Medizinische Fakultät de_DE


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