GRAZPEDWRI-DX Dataset (Split By Ju)

Rui-Yang Ju
National Taiwan University
2023
Paper arXiv Code Dataset
The left side is the original X-ray image and the right side is the image from the expert's manual labelling.

Original Dataset

GRAZPEDWRI-DX [Nagy et al. 2022] is a public dataset of 20,327 pediatric wrist trauma X-ray images released by the University of Medicine of Graz. These X-ray images were collected by multiple pediatric radiologists at the Department for Pediatric Surgery of the University Hospital Graz between 2008 and 2018, involving 6,091 patients and a total of 10,643 studies. This dataset is annotated with 74,459 image labels, featuring a total of 67,771 labeled objects. You can find the original GRAZPEDWRI-DX dataset here (unsplit).

Splitting Strategy

In our study [Ju et al. 2023], we divided the GRAZPEDWRI-DX dataset randomly into three sets: training, validation, and test. The sizes are approximately 70%, 20%, and 10% of the original dataset, respectively. Specifically, our training set consists of 14,204 images (69.88%), validation set of 4,094 images (20.14%), and test set of 2,029 images (9.98%). In subsequent studies [Ju et al. 2024][Chien et al. 2024][Chien et al. 2025], we all followed this split.

Application

Reference

[Nagy et al. 2022] Eszter Nagy, Michael Janisch, Franko Hržić, Erich Sorantin, Sebastian Tschauner. 2022. A pediatric wrist trauma X-ray dataset (GRAZPEDWRI-DX) for machine learning. Scientific Data.

[Ju et al. 2023] Rui-Yang Ju, Weiming Cai. 2023. Fracture detection in pediatric wrist trauma X-ray images using YOLOv8 algorithm. Scientific Reports.

[Ju et al. 2024] Rui-Yang Ju, Chun-Tse Chien, Enkaer Xieerke, Jen-Shiun Chiang. 2024. Pediatric Wrist Fracture Detection Using Feature Context Excitation Modules in X-ray Images. arXiv preprint.

[Chien et al. 2024] Chun-Tse Chien, Rui-Yang Ju, Kuang-Yi Chou, Jen-Shiun Chiang. 2024. YOLOv9 for fracture detection in pediatric wrist trauma X-ray images. Electronics Letters.

[Chien et al. 2025] Chun-Tse Chien, Rui-Yang Ju, Kuang-Yi Chou, Enkaer Xieerke, Jen-Shiun Chiang. 2025. YOLOv8-AM: YOLOv8 Based on Effective Attention Mechanisms for Pediatric Wrist Fracture Detection. IEEE Access.

CC BY 4.0 License This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

BibTeX

If you use our split dataset, please cite the papers below: 

@article{ju2023fracture,
  title={Fracture detection in pediatric wrist trauma X-ray images using YOLOv8 algorithm},
  author={Ju, Rui-Yang and Cai, Weiming},
  journal={Scientific Reports},
  volume={13},
  number={1},
  pages={20077},
  year={2023}
}

@article{chien2024yolov9,
  title={YOLOv9 for fracture detection in pediatric wrist trauma X-ray images},
  author={Chien, Chun-Tse and Ju, Rui-Yang and Chou, Kuang-Yi and Chiang, Jen-Shiun},
  journal={Electronics Letters},
  volume={60},
  number={11},
  pages={e13248},
  year={2024}
}

@article{chien2025yolov8,
  title={YOLOv8-AM: YOLOv8 Based on Effective Attention Mechanisms for Pediatric Wrist Fracture Detection},
  author={Chien, Chun-Tse and Ju, Rui-Yang and Chou, Kuang-Yi and Xieerke, Enkaer and Chiang, Jen-Shiun},
  journal={IEEE Access},
  volume={13},
  pages={52461-52477},
  year={2025},
  publisher={IEEE}
}

@article{ju2024pediatric,
  title={Pediatric Wrist Fracture Detection Using Feature Context Excitation Modules in X-ray Images},
  author={Ju, Rui-Yang and Chien, Chun-Tse and Xieerke, Enkaer and Chiang, Jen-Shiun},
  journal={arXiv preprint arXiv:2410.01031},
  year={2024}
}
In addition, please cite the following original dataset: 

@article{nagy2022grazpedwri,
  title={GRAZPEDWRI-DX},
  author={Nagy, Eszter and Janisch, Michael and Hrzic, Franko and Sorantin, Erich and Tschauner, Sebastian},
  journal={figshare},
  year={2022},
  month={4},
  doi={10.6084/m9.figshare.14825193.v2},
  url={https://figshare.com/articles/dataset/GRAZPEDWRI-DX/14825193}
}