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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Bibliographic Details

Published in:	Journal of Digital Imaging Vol. 30; no. 1; pp. 95 - 102
Main Authors:	Rajkomar, Alvin, Lingam, Sneha, Taylor, Andrew, Blum, Michael, Mongan, John
Format:	diagnostic images research tables/charts Journal Article
Published:	Springer Nature Feb2017
Online Access:	View this record in EBSCOhost