Automated Artificial Intelligence-Based Assessment of Lower Limb Alignment Validated on Weight-Bearing Pre- and Postoperative Full-Leg Radiographs

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dc.contributor.author Erne, Felix
dc.contributor.author Saul, Dominik
dc.contributor.author Histing, Tina
dc.contributor.author Springer, Fabian
dc.contributor.author Reumann, Marie Karolina
dc.contributor.author Nüssler, Andreas
dc.date.accessioned 2023-05-16T08:44:52Z
dc.date.available 2023-05-16T08:44:52Z
dc.date.issued 2022
dc.identifier.issn 2075-4418
dc.identifier.uri http://hdl.handle.net/10900/141171
dc.language.iso en de_DE
dc.publisher Mdpi de_DE
dc.relation.uri http://dx.doi.org/10.3390/diagnostics12112679 de_DE
dc.subject.ddc 610 de_DE
dc.title Automated Artificial Intelligence-Based Assessment of Lower Limb Alignment Validated on Weight-Bearing Pre- and Postoperative Full-Leg Radiographs de_DE
dc.type Article de_DE
utue.quellen.id 20230202000000_00604
utue.personen.roh Erne, Felix
utue.personen.roh Grover, Priyanka
utue.personen.roh Dreischarf, Marcel
utue.personen.roh Reumann, Marie K.
utue.personen.roh Saul, Dominik
utue.personen.roh Histing, Tina
utue.personen.roh Nuessler, Andreas K.
utue.personen.roh Springer, Fabian
utue.personen.roh Scholl, Carolin
dcterms.isPartOf.ZSTitelID Diagnostics de_DE
dcterms.isPartOf.ZS-Issue Article 2679 de_DE
dcterms.isPartOf.ZS-Volume 12 (11) de_DE
utue.fakultaet 04 Medizinische Fakultät de_DE


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