- 著者
-
JIANWEI XIE
Fujio Toriumi
- 出版者
- 人工知能学会
- 雑誌
- 2018年度人工知能学会全国大会(第32回)
- 巻号頁・発行日
- 2018-04-12
Structuring of a medical report has various applications. But most of them are only for supporting professionals to write well-structured reports, which means it cannot structurize reports without manual checks. In this study, we propose an automatic method to structurize medical image report findings. It extracts important information like disease names or symptoms in sentences and marks them with proper tags. With these tags, professionals can easily get the information they need from the report. Furthermore, we apply the method to a real dataset and get remarkably good results.