Development and external validation of automated detection, classification, and localization of ankle fractures: inside the black box of a convolutional neural network (CNN)

PURPOSE: Convolutional neural networks (CNNs) are increasingly being developed for automated fracture detection in orthopaedic trauma surgery. Studies to date, however, are limited to providing classification based on the entire image—and only produce heatmaps for approximate fracture localization i...

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Detalles Bibliográficos
Autores principales: Prijs, Jasper, Liao, Zhibin, To, Minh-Son, Verjans, Johan, Jutte, Paul C., Stirler, Vincent, Olczak, Jakub, Gordon, Max, Guss, Daniel, DiGiovanni, Christopher W., Jaarsma, Ruurd L., IJpma, Frank F. A., Doornberg, Job N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10175446/
https://www.ncbi.nlm.nih.gov/pubmed/36374292
http://dx.doi.org/10.1007/s00068-022-02136-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10175446/
https://www.ncbi.nlm.nih.gov/pubmed/36374292
http://dx.doi.org/10.1007/s00068-022-02136-1

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