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Deep Learning for Fully Automated Radiographic Measurements of the Pelvis and Hip

The morphometry of the hip and pelvis can be evaluated in native radiographs. Artificial-intelligence-assisted analyses provide objective, accurate, and reproducible results. This study investigates the performance of an artificial intelligence (AI)-based software using deep learning algorithms to m...

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Detalles Bibliográficos
Autores principales:	Stotter, Christoph, Klestil, Thomas, Röder, Christoph, Reuter, Philippe, Chen, Kenneth, Emprechtinger, Robert, Hummer, Allan, Salzlechner, Christoph, DiFranco, Matthew, Nehrer, Stefan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9914204/ https://www.ncbi.nlm.nih.gov/pubmed/36766600 http://dx.doi.org/10.3390/diagnostics13030497

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