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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Bibliografiske detaljer
Udgivet i:Sci Rep
Main Authors: Kim, Kiwook, Kim, Sungwon, Lee, Young Han, Lee, Seung Hyun, Lee, Hye Sun, Kim, Sungjun
Format: Artigo
Sprog:Inglês
Udgivet: Nature Publishing Group UK 2018
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Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6120953/
https://ncbi.nlm.nih.gov/pubmed/30177857
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-31486-3
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