Automatic Detection and Classification of Rib Fractures on Thoracic CT Using Convolutional Neural Network: Accuracy and Feasibility

OBJECTIVE: To evaluate the performance of a convolutional neural network (CNN) model that can automatically detect and classify rib fractures, and output structured reports from computed tomography (CT) images. MATERIALS AND METHODS: This study included 1079 patients (median age, 55 years; men, 718)...

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Detalles Bibliográficos
Autores principales: Zhou, Qing-Qing, Wang, Jiashuo, Tang, Wen, Hu, Zhang-Chun, Xia, Zi-Yi, Li, Xue-Song, Zhang, Rongguo, Yin, Xindao, Zhang, Bing, Zhang, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2020
Materias:
Thoracic Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7289688/
https://www.ncbi.nlm.nih.gov/pubmed/32524787
http://dx.doi.org/10.3348/kjr.2019.0651

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7289688/
https://www.ncbi.nlm.nih.gov/pubmed/32524787
http://dx.doi.org/10.3348/kjr.2019.0651

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