CN-X2RG

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Generating Chinese Radiology Reports from X-ray Images: A Public Dataset and An X-ray-to-Reports Generation Method

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# CN-X2RG
Generating Chinese Radiology Reports from X-ray Images: A Public Dataset and An X-ray-to-Reports Generation Method(MICCAI 2023 Workshops: Care-AI 2023)

## Overview of the proposed framework.
![Image text](https://github.com/Endless-Hao/CN-X2RG/blob/main/figure/overview.jpg)

## Illustration of the Chinese(Right)(The proposed dataset) and English(Left) reports. 
![Image text](https://github.com/Endless-Hao/CN-X2RG/blob/main/figure/report.jpg)
The blue box indicates that the original report is in English, and the red indicates that the original report is in Chinese. Using ChatGPT as a translation tool.

## CN-RadGrap
![Image text](https://github.com/Endless-Hao/CN-X2RG/blob/main/figure/graph.jpg)
Sample report annotated according to the CN-RadGraph schema (upper) and the associated knowledge graph (lower).

## Citations
If you use or extend our work, please cite our paper.
```bibtex
@inproceedings{tang2023generating,
  title={Generating Chinese Radiology Reports from X-Ray Images: A Public Dataset and an X-ray-to-Reports Generation Method},
  author={Tang, Wen and Pei, Chenhao and Yu, Pengxin and Zhang, Huan and Min, Xiangde and Chen, Cancan and Kang, Han and Xu, Weixin and Zhang, Rongguo},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={79--88},
  year={2023},
  organization={Springer}
}
```

CN-X2RG

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