Development and Validation of a Convolutional Neural Network for Automated Detection of Scaphoid Fractures on Conventional Radiographs

Exploring foci of: Radiology Artificial Intelligence • Vol 3 • No 4 Development and Validation of a Convolutional Neural Network for Automated Detection of Scaphoid Fractures on Conventional Radiographs April 2021 • Nils Hendrix, Ernst T. Scholten, Bastiaan Vernhout, Stefan Bruijnen, Bas Maresch, Mathijn de Jong, S.C.E. Diepstraten, Stijn Bollen, Steven Schalekam… The developed CNN achieved radiologist-level performance in detecting scaphoid bone fractures on conventional radiographs of the hand, wrist, and scaphoid.<b>Keywords:</b> Convolutional Neural Network (CNN), Deep Learning Algorithms, Machine Learning Algorithms, Feature Detection-Vision-Application Domain, Computer-Aided DiagnosisSee also the commentary by Li and Torriani in this issue.<i>Supplemental material is available for this article.</i>©RSNA, 2021. Open Article Page

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