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High-Throughput Classification of Radiographs Using Deep Convolutional Neural Networks
The study aimed to determine if computer vision techniques rooted in deep learning can use a small set of radiographs to perform clinically relevant image classification with high fidelity. One thousand eight hundred eighty-five chest radiographs on 909 patients obtained between January 2013 and Jul...
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| Publicado no: | J Digit Imaging |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer International Publishing
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5267603/ https://ncbi.nlm.nih.gov/pubmed/27730417 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-016-9914-9 |
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