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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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Detalles Bibliográficos
Autores principales:	Rajkomar, Alvin, Lingam, Sneha, Taylor, Andrew G., Blum, Michael, Mongan, John
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer International Publishing 2016
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5267603/ https://www.ncbi.nlm.nih.gov/pubmed/27730417 http://dx.doi.org/10.1007/s10278-016-9914-9

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