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Transformer versus traditional natural language processing: how much data is enough for automated radiology report classification?
2023·26 Zitationen·British Journal of RadiologyOpen Access
Volltext beim Verlag öffnen26
Zitationen
8
Autoren
2023
Jahr
Abstract
Our benchmarks can help guide clinical NLP researchers in selecting machine-learning models according to their dataset characteristics.
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Autoren
Institutionen
Themen
Radiomics and Machine Learning in Medical ImagingArtificial Intelligence in Healthcare and EducationRadiology practices and education