Deep learning for detection of radiographic sacroiliitis: achieving expert-level performance

BACKGROUND: Radiographs of the sacroiliac joints are commonly used for the diagnosis and classification of axial spondyloarthritis. The aim of this study was to develop and validate an artificial neural network for the detection of definite radiographic sacroiliitis as a manifestation of axial spond...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8028815/
https://www.ncbi.nlm.nih.gov/pubmed/33832519
http://dx.doi.org/10.1186/s13075-021-02484-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8028815/
https://www.ncbi.nlm.nih.gov/pubmed/33832519
http://dx.doi.org/10.1186/s13075-021-02484-0

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