Impact of retraining a deep learning algorithm for improving guideline-compliant aortic diameter measurements on non-gated chest CT

Lo Piccolo, Francesca; Hinck, Daniel; Segeroth, Martin; Sperl, Jonathan; Cyriac, Joshy; Yang, Shan; Rapaka, Saikiran; Bremerich, Jens; Sauter, Alexander W.; Pradella, Maurice

dc.contributor.author	Sauter, Alexander Walter
dc.date.accessioned	2024-04-25T09:55:33Z
dc.date.available	2024-04-25T09:55:33Z
dc.date.issued	2023
dc.identifier.issn	0720-048X
dc.identifier.uri	http://hdl.handle.net/10900/152984
dc.language.iso	en	de_DE
dc.publisher	Clare : Elsevier Ireland Ltd	de_DE
dc.relation.uri	http://dx.doi.org/10.1016/j.ejrad.2023.111093	de_DE
dc.subject.ddc	610	de_DE
dc.title	Impact of retraining a deep learning algorithm for improving guideline-compliant aortic diameter measurements on non-gated chest CT	de_DE
dc.type	Article	de_DE
utue.quellen.id	20240124000000_01182
utue.personen.roh	Lo Piccolo, Francesca
utue.personen.roh	Hinck, Daniel
utue.personen.roh	Segeroth, Martin
utue.personen.roh	Sperl, Jonathan
utue.personen.roh	Cyriac, Joshy
utue.personen.roh	Yang, Shan
utue.personen.roh	Rapaka, Saikiran
utue.personen.roh	Bremerich, Jens
utue.personen.roh	Sauter, Alexander W.
utue.personen.roh	Pradella, Maurice
dcterms.isPartOf.ZSTitelID	European Journal of Radiology	de_DE
dcterms.isPartOf.ZS-Issue	Article 111093	de_DE
dcterms.isPartOf.ZS-Volume	168	de_DE
utue.fakultaet	04 Medizinische Fakultät	de_DE