数据集:
SerdarHelli/SegmentationOfTeethPanoramicXRayImages
The aim of this study is automatic semantic segmentation and measurement total length of teeth in one-shot panoramic x-ray image by using deep learning method with U-Net Model and binary image analysis in order to provide diagnostic information for the management of dental disorders, diseases, and conditions.
Original Dataset For Only Images DATASET ref - H. Abdi, S. Kasaei, and M. Mehdizadeh, “Automatic segmentation of mandible in panoramic x-ray,” J. Med. Imaging, vol. 2, no. 4, p. 44003, 2015 Link DATASET for only original images.
An example of 'train' looks as follows.
{
    "image": X-ray Image (Image),
    "label": Binary Image Segmentation Map (Image)
    
}
 Original Dataset For Only Images DATASET ref - H. Abdi, S. Kasaei, and M. Mehdizadeh, “Automatic segmentation of mandible in panoramic x-ray,” J. Med. Imaging, vol. 2, no. 4, p. 44003, 2015 Link DATASET for only original images.
The annotation was made manually.
Who are the annotators?S.Serdar Helli
The X-Ray Images files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International license.
To Check Out For More Information:
Original Dataset For Only Images DATASET ref - H. Abdi, S. Kasaei, and M. Mehdizadeh, “Automatic segmentation of mandible in panoramic x-ray,” J. Med. Imaging, vol. 2, no. 4, p. 44003, 2015 Link DATASET for only original images.
For Labelling
@article{helli10tooth,
  title={Tooth Instance Segmentation on Panoramic Dental Radiographs Using U-Nets and Morphological Processing},
  author={HELL{\.I}, Serdar and HAMAMCI, Anda{\c{c}}},
  journal={D{\"u}zce {\"U}niversitesi Bilim ve Teknoloji Dergisi},
  volume={10},
  number={1},
  pages={39--50}
}
 For Original Images
@article{abdi2015automatic,
  title={Automatic segmentation of mandible in panoramic x-ray},
  author={Abdi, Amir Hossein and Kasaei, Shohreh and Mehdizadeh, Mojdeh},
  journal={Journal of Medical Imaging},
  volume={2},
  number={4},
  pages={044003},
  year={2015},
  publisher={SPIE}
}
 Thanks to @SerdarHelli for adding this dataset.