Assessing the Accuracy of an Artificial Intelligence-Based Segmentation Algorithm for the Thoracic Aorta in Computed Tomography Applications

dc.contributor.author	Artzner, Christoph
dc.contributor.author	Herrmann, Judith
dc.contributor.author	Bongers, Malte Niklas
dc.contributor.author	Perl, Regine
dc.contributor.author	Walter, Sven Stephan
dc.date.accessioned	2023-06-05T09:26:31Z
dc.date.available	2023-06-05T09:26:31Z
dc.date.issued	2022
dc.identifier.issn	2075-4418
dc.identifier.uri	http://hdl.handle.net/10900/141833
dc.language.iso	en	de_DE
dc.publisher	Mdpi	de_DE
dc.relation.uri	http://dx.doi.org/10.3390/diagnostics12081790	de_DE
dc.subject.ddc	610	de_DE
dc.title	Assessing the Accuracy of an Artificial Intelligence-Based Segmentation Algorithm for the Thoracic Aorta in Computed Tomography Applications	de_DE
dc.type	Article	de_DE
utue.quellen.id	20230202000000_01970
utue.personen.roh	Artzner, Christoph
utue.personen.roh	Bongers, Malte N.
utue.personen.roh	Kaergel, Rainer
utue.personen.roh	Faby, Sebastian
utue.personen.roh	Hefferman, Gerald
utue.personen.roh	Herrmann, Judith
utue.personen.roh	Nopper, Svenja L.
utue.personen.roh	Perl, Regine M.
utue.personen.roh	Walter, Sven S.
dcterms.isPartOf.ZSTitelID	Diagnostics	de_DE
dcterms.isPartOf.ZS-Issue	Article 1790	de_DE
dcterms.isPartOf.ZS-Volume	12 (8)	de_DE
utue.fakultaet	04 Medizinische Fakultät	de_DE

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