Papers by Yuki Suzuki
Factual Accuracy is not Enough: Planning Consistent Description Order for Radiology Report Generation (2022.emnlp-main)
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Toru Nishino, Yasuhide Miura, Tomoki Taniguchi, Tomoko Ohkuma, Yuki Suzuki, Shoji Kido, Noriyuki Tomiyama
| Challenge: | Radiology report generation systems can reduce the workload of radiologists by automatically describing the findings in medical images. |
| Approach: | They propose a planning-based radiology report generation system that generates the overall structure of reports as “plans” prior to generating reports that are accurate and consistent in order. |
| Outcome: | The proposed system improves the content order score by 5.1 pt in time series critical scenarios and the clinical factual accuracy F-score by 9.1 p.t. in time-series irrelevant scenarios. |