An open source convolutional neural network to detect and localize distal radius fractures on plain radiographs.

Purpose: Distal radius fractures (DRFs) are often initially assessed by junior doctors under time constraints, with limited supervision, risking significant consequences if missed. Convolutional Neural Networks (CNNs) can aid in diagnosing fractures. This study aims to internally and externally vali...

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Publicado en:	European Journal of Trauma & Emergency Surgery Vol. 51; no. 1; pp. 1 - 9
Autores principales:	Oude Nijhuis, Koen D., Barvelink, Britt, Prijs, Jasper, Zhao, Yang, Liao, Zhibin, Jaarsma, Ruurd L., IJpma, Frank F. A., Colaris, Joost W., Doornberg, Job N., Wijffels, Mathieu M. E., On behalf of the Machine Learning Consortium, van Luit, Hans, Canta, Olga, Hoeksema, Sanne, Laane, Charlotte L.E., Aksakal, Kaan, Mhmud, Haras, Jutte, Paul, Gordon, Max, Mallee, Wouter
Formato:	Journal Article
Publicado:	Springer Nature 2025
Acceso en línea:	Ver este registro en EBSCOhost