Deep learning classification of shoulder fractures on plain radiographs of the humerus, scapula and clavicle

In this study, we present a deep learning model for fracture classification on shoulder radiographs using a convolutional neural network (CNN). The primary aim was to evaluate the classification performance of the CNN for proximal humeral fractures (PHF) based on the AO/OTA classification system. Se...

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Detalles Bibliográficos
Autores principales: Magnéli, Martin, Ling, Petter, Gislén, Jacob, Fagrell, Johan, Demir, Yilmaz, Arverud, Erica Domeij, Hallberg, Kristofer, Salomonsson, Björn, Gordon, Max
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10468075/
https://www.ncbi.nlm.nih.gov/pubmed/37647274
http://dx.doi.org/10.1371/journal.pone.0289808

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10468075/
https://www.ncbi.nlm.nih.gov/pubmed/37647274
http://dx.doi.org/10.1371/journal.pone.0289808

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