Learning to Generate Radiology Findings from Impressions Based on Large Language Model
Author:
Affiliation:
1. Tsinghua University,MSIIP,Beijing,China
2. Peking University Third Hospital,Department of Radiology,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10385234/10386078/10386916.pdf?arnumber=10386916
Reference20 articles.
1. Learning to Summarize Radiology Findings
2. Ontology-Aware Clinical Abstractive Summarization
3. BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
4. Bert: Pre-training of deep bidirectional transformers for language understanding;Devlin;arXiv preprint arXiv:1810.04805,2018
5. Language models are few-shot learners;Brown;Advances in neural information processing systems,2020
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