dc.contributor.author | Danalache, Marina | |
dc.date.accessioned | 2025-09-18T13:09:21Z | |
dc.date.available | 2025-09-18T13:09:21Z | |
dc.date.issued | 2025 | |
dc.identifier.issn | 2076-3417 | |
dc.identifier.uri | http://hdl.handle.net/10900/170329 | |
dc.language.iso | en | en |
dc.publisher | Basel : Mdpi | de_DE |
dc.relation.uri | http://dx.doi.org/10.3390/app15094636 | |
dc.subject.ddc | 540 | de_DE |
dc.subject.ddc | 600 | de_DE |
dc.subject.ddc | 530 | de_DE |
dc.title | Machine Learning to Recognise ACL Tears: A Systematic Review | de_DE |
dc.type | Article | de_DE |
utue.quellen.id | 20250630000000_00818 | |
utue.personen.roh | Wolfgart, Julius Michael | |
utue.personen.roh | Hofmann, Ulf Krister | |
utue.personen.roh | Praster, Maximilian | |
utue.personen.roh | Danalache, Marina | |
utue.personen.roh | Migliorini, Filippo | |
utue.personen.roh | Feierabend, Martina | |
dcterms.isPartOf.ZSTitelID | Applied Sciences - Basel | de_DE |
dcterms.isPartOf.ZS-Issue | 9 | de_DE |
dcterms.isPartOf.ZS-Volume | 15 | de_DE |
utue.fakultaet | 04 Medizinische Fakultät |
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