An increasing number of convolutional neural networks for fracture recognition and classification in orthopaedics: are these externally validated and ready for clinical application?

AIMS: The number of convolutional neural networks (CNN) available for fracture detection and classification is rapidly increasing. External validation of a CNN on a temporally separate (separated by time) or geographically separate (separated by location) dataset is crucial to assess generalizabilit...

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Detalles Bibliográficos
Autores principales: Oliveira e Carmo, Luisa, van den Merkhof, Anke, Olczak, Jakub, Gordon, Max, Jutte, Paul C., Jaarsma, Ruurd L., IJpma, Frank F. A., Doornberg, Job N., Prijs, Jasper
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The British Editorial Society of Bone & Joint Surgery 2021
Materias:
Meta-Analysis
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8558452/
https://www.ncbi.nlm.nih.gov/pubmed/34669518
http://dx.doi.org/10.1302/2633-1462.210.BJO-2021-0133

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8558452/
https://www.ncbi.nlm.nih.gov/pubmed/34669518
http://dx.doi.org/10.1302/2633-1462.210.BJO-2021-0133

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