Artificial intelligence detection of distal radius fractures: a comparison between the convolutional neural network and professional assessments

Artificial intelligence detection of distal radius fractures: a comparison between the convolutional neural network and professional assessments

Background and purpose — Artificial intelligence has rapidly become a powerful method in image analysis with the use of convolutional neural networks (CNNs). We assessed the ability of a CNN, with a fast object detection algorithm previously identifying the regions of interest, to detect distal radi...

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Bibliographic Details
Main Authors: Kaifeng Gan, Dingli Xu, Yimu Lin, Yandong Shen, Ting Zhang, Keqi Hu, Ke Zhou, Mingguang Bi, Lingxiao Pan, Wei Wu, Yunpeng Liu
Format: Article
Language:English
Published: Taylor & Francis Group 2019-07-01
Series:Acta Orthopaedica
Online Access:http://dx.doi.org/10.1080/17453674.2019.1600125

Internet

http://dx.doi.org/10.1080/17453674.2019.1600125

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