The first public project for teeth caries segmentation based on dental panoramic X-ray images

Here have have placed the code and test samples for our previous work "Multi-level Uncertainty Aware Semi-supervised Learning for Dental Panoramic Caries Segmentation". And the all training data download link will be attached after our paper accepted.

Google Drive source: https://drive.google.com/file/d/1Xn1oGHvhGF9GbkcLEtCOV5QvWWqt1y62/view?usp=drive_link

Baidu Cloud source: https://pan.baidu.com/s/1jRXsSQIr8mm3EyGYELv9kg?pwd=rsoc

If you are interested in the task of segmenting caries in panoramic images, we believe our new work that also based on DC1000 images for structured segmentation of dental instance, exploring potential ability to caries degree classification, will capture your interest： dental structured instance segmentation

If you using this dataset, please cite our paper:

@article{wang2023multi,
  title={Multi-level uncertainty aware learning for semi-supervised dental panoramic caries segmentation},
  author={Wang, Xianyun and Gao, Sizhe and Jiang, Kaisheng and Zhang, Huicong and Wang, Linhong and Chen, Feng and Yu, Jun and Yang, Fan},
  journal={Neurocomputing},
  volume={540},
  pages={126208},
  year={2023},
  publisher={Elsevier}
}