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Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation
Yasuhide Miura, Yuhao Zhang, Emily Bao Tsai +2
Neural image-to-text radiology report generation systems offer the potential to improve radiology reporting by reducing the repetitive process of report drafting and identifying po…
Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports
Yuhao Zhang, Derek Merck, Emily Bao Tsai +2
Neural abstractive summarization models are able to generate summaries which have high overlap with human references. However, existing models are not optimized for factual correct…
Learning to Summarize Radiology Findings
Yuhao Zhang, Daisy Yi Ding, Tianpei Qian +2
The Impression section of a radiology report summarizes crucial radiology findings in natural language and plays a central role in communicating these findings to physicians. Howev…