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

Internet

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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