Performance of a deep learning tool to detect missed aortic dilatation in a large chest CT cohort

Pradella, Maurice; Achermann, Rita; Sperl, Jonathan I. I.; Kargel, Rainer; Rapaka, Saikiran; Cyriac, Joshy; Yang, Shan; Sommer, Gregor; Stieltjes, Bram; Bremerich, Jens; Brantner, Philipp; Sauter, Alexander W.

dc.contributor.author	Sauter, Alexander Walter
dc.date.accessioned	2023-04-17T09:23:45Z
dc.date.available	2023-04-17T09:23:45Z
dc.date.issued	2022
dc.identifier.issn	2297-055X
dc.identifier.uri	http://hdl.handle.net/10900/139225
dc.language.iso	en	de_DE
dc.publisher	Frontiers Media Sa	de_DE
dc.relation.uri	http://dx.doi.org/10.3389/fcvm.2022.972512	de_DE
dc.subject.ddc	610	de_DE
dc.title	Performance of a deep learning tool to detect missed aortic dilatation in a large chest CT cohort	de_DE
dc.type	Article	de_DE
utue.quellen.id	20230202000000_01794
utue.personen.roh	Pradella, Maurice
utue.personen.roh	Achermann, Rita
utue.personen.roh	Sperl, Jonathan I. I.
utue.personen.roh	Kargel, Rainer
utue.personen.roh	Rapaka, Saikiran
utue.personen.roh	Cyriac, Joshy
utue.personen.roh	Yang, Shan
utue.personen.roh	Sommer, Gregor
utue.personen.roh	Stieltjes, Bram
utue.personen.roh	Bremerich, Jens
utue.personen.roh	Brantner, Philipp
utue.personen.roh	Sauter, Alexander W.
dcterms.isPartOf.ZSTitelID	Frontiers in Cardiovascular Medicine	de_DE
dcterms.isPartOf.ZS-Issue	Article 972512	de_DE
dcterms.isPartOf.ZS-Volume	9	de_DE
utue.fakultaet	04 Medizinische Fakultät	de_DE