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Neural classification of Norwegian radiology reports: using NLP to detect findings in CT-scans of children
This article trained machine learning techniques to classify Norwegian radiology reports of pediatric CT examinations according to their description of abnormal findings. The developed models are robust with respect to different contexts, and may be used in quality assurance processes.
Date:
March 4, 2021
Creator:
Dahl, Fredrik A.; Rama, Taraka; Hurlen, Petter; Brekke, Pål H.; Husby, Haldor; Gundersen, Tore et al.
System:
The UNT Digital Library