Deep Learning-Based Automated Abdominal Organ Segmentation in the UK Biobank and German National Cohort Magnetic Resonance Imaging Studies

Kart, Turkay; Fischer, Marc; Kuestner, Thomas; Hepp, Tobias; Bamberg, Fabian; Winzeck, Stefan; Glocker, Ben; Rueckert, Daniel; Gatidis, Sergios

dc.contributor.author	Fischer, Marc
dc.contributor.author	Hepp, Tobias
dc.contributor.author	Gatidis, Sergios
dc.contributor.author	Küstner, Thomas
dc.date.accessioned	2021-11-22T10:01:31Z
dc.date.available	2021-11-22T10:01:31Z
dc.date.issued	2021
dc.identifier.issn	1536-0210
dc.identifier.uri	http://hdl.handle.net/10900/120922
dc.language.iso	en	de_DE
dc.publisher	Lippincott Williams & Wilkins	de_DE
dc.relation.uri	http://dx.doi.org/10.1097/RLI.0000000000000755	de_DE
dc.subject.ddc	610	de_DE
dc.title	Deep Learning-Based Automated Abdominal Organ Segmentation in the UK Biobank and German National Cohort Magnetic Resonance Imaging Studies	de_DE
dc.type	Article	de_DE
utue.quellen.id	20210824232002_01043
utue.publikation.seiten	401-408	de_DE
utue.personen.roh	Kart, Turkay
utue.personen.roh	Fischer, Marc
utue.personen.roh	Kuestner, Thomas
utue.personen.roh	Hepp, Tobias
utue.personen.roh	Bamberg, Fabian
utue.personen.roh	Winzeck, Stefan
utue.personen.roh	Glocker, Ben
utue.personen.roh	Rueckert, Daniel
utue.personen.roh	Gatidis, Sergios
dcterms.isPartOf.ZSTitelID	Investigative Radiology	de_DE
dcterms.isPartOf.ZS-Issue	6	de_DE
dcterms.isPartOf.ZS-Volume	56	de_DE
utue.fakultaet	04 Medizinische Fakultät	de_DE