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

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	Artikel	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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