Open-source convolutional neural network to classify distal radial fractures according to the AO/OTA classification on plain radiographs.

Purpose: Convolutional Neural Networks (CNNs) have shown promise in fracture detection, but their ability to improve surgeons' inconsistent fracture classification remains unstudied. Therefore, our aim was create and (externally) validate the performance of an open-source CNN algorithm to classify D...

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Publicado en:	European Journal of Trauma & Emergency Surgery Vol. 51; no. 1; pp. 1 - 11
Autores principales:	Oude Nijhuis, Koen D., Prijs, Jasper, Barvelink, Britt, van Luit, Hans, Zhao, Yang, Liao, Zhibin, Jaarsma, Ruurd L., IJpma, Frank F. A., Wijffels, Mathieu M. E., Doornberg, Job N., Colaris, Joost W., Laane, Charlotte, Canta, Olga, Hoeksema, Sanne, Aksakal, Kaan, Mhmud, Haras, Jutte, Paul, Mallee, Wouter, Duckworth, Andrew, Schep, Niels
Formato:	diagnostic images research tables/charts Journal Article
Publicado:	Springer Nature 7/21/2025
Acceso en línea:	Ver este registro en EBSCOhost