Automatic Lung-RADS™ classification with a natural language processing system

BACKGROUND: Our aim was to train a natural language processing (NLP) algorithm to capture imaging characteristics of lung nodules reported in a structured CT report and suggest the applicable Lung-RADS™ (LR) category. METHODS: Our study included structured, clinical reports of consecutive CT lung sc...

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Bibliografische gegevens
Gepubliceerd in:J Thorac Dis
Hoofdauteurs: Beyer, Sebastian E., McKee, Brady J., Regis, Shawn M., McKee, Andrea B., Flacke, Sebastian, El Saadawi, Gilan, Wald, Christoph
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: AME Publishing Company 2017
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Original Article
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5708435/
https://ncbi.nlm.nih.gov/pubmed/29221286
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.21037/jtd.2017.08.13
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