Performance of the deep convolutional neural network based magnetic resonance image scoring algorithm for differentiating between tuberculous and pyogenic spondylitis

The purpose of this study was to evaluate the performance of the deep convolutional neural network (DCNN) in differentiating between tuberculous and pyogenic spondylitis on magnetic resonance (MR) imaging, compared to the performance of three skilled radiologists. This clinical retrospective study u...

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Detalles Bibliográficos
Autores principales: Kim, Kiwook, Kim, Sungwon, Lee, Young Han, Lee, Seung Hyun, Lee, Hye Sun, Kim, Sungjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6120953/
https://www.ncbi.nlm.nih.gov/pubmed/30177857
http://dx.doi.org/10.1038/s41598-018-31486-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6120953/
https://www.ncbi.nlm.nih.gov/pubmed/30177857
http://dx.doi.org/10.1038/s41598-018-31486-3

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