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Deep Convolutional Neural Networks for Endotracheal Tube Position and X-ray Image Classification: Challenges and Opportunities
The goal of this study is to evaluate the efficacy of deep convolutional neural networks (DCNNs) in differentiating subtle, intermediate, and more obvious image differences in radiography. Three different datasets were created, which included presence/absence of the endotracheal (ET) tube (n = 300),...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer International Publishing
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5537094/ https://www.ncbi.nlm.nih.gov/pubmed/28600640 http://dx.doi.org/10.1007/s10278-017-9980-7 |