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...

Descripción completa

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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9914204/
https://www.ncbi.nlm.nih.gov/pubmed/36766600
http://dx.doi.org/10.3390/diagnostics13030497

Ejemplares similares