Assessment of Convolutional Neural Networks for Automated Classification of Chest Radiographs

Dunnmon, Jared A.; Yi, Darvin; Langlotz, Curtis P.; Ré, Christopher; Rubin, Daniel L.; Lungren, Matthew P.

doi:10.1148/radiol.2018181422

Assessment of Convolutional Neural Networks for Automated Classification of Chest Radiographs

Purpose To assess the ability of convolutional neural networks (CNNs) to enable high-performance automated binary classification of chest radiographs. Materials and Methods In a retrospective study, 216 431 frontal chest radiographs obtained between 1998 and 2012 were procured, along with associa…