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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Detalles Bibliográficos
Autores principales: Gan, Kaifeng, Xu, Dingli, Lin, Yimu, Shen, Yandong, Zhang, Ting, Hu, Keqi, Zhou, Ke, Bi, Mingguang, Pan, Lingxiao, Wu, Wei, Liu, Yunpeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6718190/
https://www.ncbi.nlm.nih.gov/pubmed/30942136
http://dx.doi.org/10.1080/17453674.2019.1600125

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6718190/
https://www.ncbi.nlm.nih.gov/pubmed/30942136
http://dx.doi.org/10.1080/17453674.2019.1600125

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