RadBERT: Adapting Transformer-based Language Models to Radiology

Key Points

Key points are not available for this paper at this time.

Abstract

Transformer-based language models tailored to radiology had improved performance of radiology NLP tasks compared with baseline transformer language models.Keywords: Translation, Unsupervised Learning, Transfer Learning, Neural Networks, Informatics Supplemental material is available for this article. © RSNA, 2022See also commentary by Wiggins and Tejani in this issue.

RadBERT: Adapting Transformer-based Language Models to Radiology

Key Points

Abstract

Cite This Study