Fully automated whole-liver volume quantification on CT-image data: Comparison with manual volumetry using enhanced and unenhanced images as well as two different radiation dose levels and two reconstruction kernels

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dc.contributor.author Hagen, Florian
dc.contributor.author Mair, Antonia
dc.contributor.author Bitzer, Michael
dc.contributor.author Bösmüller, Hans
dc.contributor.author Horger, Marius
dc.date.accessioned 2022-04-29T06:59:26Z
dc.date.available 2022-04-29T06:59:26Z
dc.date.issued 2021
dc.identifier.issn 1932-6203
dc.identifier.uri http://hdl.handle.net/10900/126450
dc.language.iso en en
dc.publisher Public Library Science de_DE
dc.relation.uri http://dx.doi.org/10.1371/journal.pone.0255374
dc.subject.ddc 500 de_DE
dc.title Fully automated whole-liver volume quantification on CT-image data: Comparison with manual volumetry using enhanced and unenhanced images as well as two different radiation dose levels and two reconstruction kernels de_DE
dc.type Article de_DE
utue.quellen.id 20210824232002_02188
utue.personen.roh Hagen, Florian
utue.personen.roh Mair, Antonia
utue.personen.roh Bitzer, Michael
utue.personen.roh Boesmueller, Hans
utue.personen.roh Horger, Marius
dcterms.isPartOf.ZSTitelID Plos One de_DE
dcterms.isPartOf.ZS-Issue Article e0255374 de_DE
dcterms.isPartOf.ZS-Volume 16 de_DE
utue.fakultaet 04 Medizinische Fakultät
utue.fakultaet Universität Tübingen (ohne Fakultätsangabe)


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