Artificial Neural Networks for differential diagnosis of breast lesions in MR-Mammography: A systematic approach addressing the influence of network architecture on diagnostic performance using a large clinical database

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dc.contributor.author Dietzel, Andreas de_DE
dc.contributor.author Bogdan, Martin de_DE
dc.date.accessioned 2014-03-20T14:04:03Z
dc.date.available 2014-03-20T14:04:03Z
dc.date.issued 2012 de_DE
dc.identifier.issn 0720-048X de_DE
dc.identifier.uri http://hdl.handle.net/10900/50261
dc.language.iso en en
dc.publisher Elsevier Ireland Ltd de_DE
dc.relation.uri http://dx.doi.org/10.1016/j.ejrad.2011.03.024 de_DE
dc.rights info:eu-repo/semantics/closedAccess
dc.subject.ddc 610 de_DE
dc.title Artificial Neural Networks for differential diagnosis of breast lesions in MR-Mammography: A systematic approach addressing the influence of network architecture on diagnostic performance using a large clinical database de_DE
dc.type Article de_DE
utue.quellen.id 20140226071329_01942 de_DE
utue.publikation.seiten 1508-1513 de_DE
utue.personen.roh Dietzel, Matthias de_DE
utue.personen.roh Baltzer, Pascal A. T. de_DE
utue.personen.roh Dietzel, Andreas de_DE
utue.personen.roh Zoubi, Ramy de_DE
utue.personen.roh Groeschel, Tobias de_DE
utue.personen.roh Burmeister, Hartmut P. de_DE
utue.personen.roh Bogdan, Martin de_DE
utue.personen.roh Kaiser, Werner A. de_DE
dcterms.isPartOf.ZSTitelID European Journal of Radiology de_DE
dcterms.isPartOf.ZS-Issue 7 de_DE
dcterms.isPartOf.ZS-Volume 81 de_DE
utue.fakultaet 07 Mathematisch-Naturwissenschaftliche Fakultät de_DE


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