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Document type:
Zeitschriftenaufsatz
Author(s):
Bressem, Keno K. ; Vahldiek, Janis L. ; Adams, Lisa ; Niehues, Stefan Markus ; Haibel, Hildrun ; Rodriguez, Valeria Rios ; Torgutalp, Murat ; Protopopov, Mikhail ; Proft, Fabian ; Rademacher, Judith ; Sieper, Joachim ; Rudwaleit, Martin ; Hamm, Bernd ; Makowski, Marcus R. ; Hermann, Kay-Geert ; Poddubnyy, Denis
Title:
Deep learning for detection of radiographic sacroiliitis: achieving expert-level performance
Keywords:
Research Article ; Axial spondyloarthritis ; Sacroiliitis ; Artificial intelligence ; Deep learning ; Machine learning
Journal title:
Arthritis Research & Therapy
Year:
2021
Journal volume:
23
Journal issue:
1
Fulltext / DOI:
doi:10.1186/s13075-021-02484-0
Publisher:
BioMed Central
E-ISSN:
1478-6362
Date of publication:
08.04.2021
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