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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Bibliographic Details

Published in:	European Journal of Trauma & Emergency Surgery Vol. 51; no. 1; pp. 1 - 11
Main Authors:	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
Format:	diagnostic images research tables/charts Journal Article
Published:	Springer Nature 7/21/2025
Online Access:	View this record in EBSCOhost