Deep Learning in the Detection of Rare Fractures - Development of a Deep Learning Convolutional Network Model for Detecting Acetabular Fractures

Erne, Felix; Dehncke, Daniel; Herath, Steven C.; Springer, Fabian; Pfeifer, Nico; Eggeling, Ralf; Kueper, Markus Alexander

dc.contributor.author	Erne, Felix
dc.contributor.author	Dehncke, Daniel
dc.contributor.author	Herath, Steven C.
dc.contributor.author	Springer, Fabian
dc.contributor.author	Pfeifer, Nico
dc.contributor.author	Eggeling, Ralf
dc.contributor.author	Küper, Markus Alexander
dc.date.accessioned	2024-10-07T08:31:31Z
dc.date.available	2024-10-07T08:31:31Z
dc.date.issued	2023
dc.identifier.issn	1864-6697
dc.identifier.uri	http://hdl.handle.net/10900/157817
dc.language.iso	en	de_DE
dc.publisher	New York : Thieme Medical Publ Inc	de_DE
dc.relation.uri	http://dx.doi.org/10.1055/a-1511-8595	de_DE
dc.subject.ddc	610	de_DE
dc.title	Deep Learning in the Detection of Rare Fractures - Development of a Deep Learning Convolutional Network Model for Detecting Acetabular Fractures	de_DE
dc.type	Article	de_DE
utue.quellen.id	20240730000000_06041
utue.publikation.seiten	42-50	de_DE
utue.personen.roh	Erne, Felix
utue.personen.roh	Dehncke, Daniel
utue.personen.roh	Herath, Steven C.
utue.personen.roh	Springer, Fabian
utue.personen.roh	Pfeifer, Nico
utue.personen.roh	Eggeling, Ralf
utue.personen.roh	Kueper, Markus Alexander
dcterms.isPartOf.ZSTitelID	Zeitschrift für Orthopadie und Unfallchirurgie	de_DE
dcterms.isPartOf.ZS-Issue	1	de_DE
dcterms.isPartOf.ZS-Volume	161	de_DE
utue.fakultaet	04 Medizinische Fakultät	de_DE
utue.fakultaet	07 Mathematisch-Naturwissenschaftliche Fakultät	de_DE