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 associat...

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Vydáno v:Radiology
Hlavní autoři: Dunnmon, Jared A., Yi, Darvin, Langlotz, Curtis P., Ré, Christopher, Rubin, Daniel L., Lungren, Matthew P.
Médium: Artigo
Jazyk:Inglês
Vydáno: Radiological Society of North America 2019
Témata:
Original Research
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6358056/
https://ncbi.nlm.nih.gov/pubmed/30422093
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/radiol.2018181422
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