README.md

metadata

size_categories:
  - n<1K
source_datasets:
  - original
task_categories:
  - image-segmentation
task_ids:
  - semantic-segmentation
  - teeth_segmentation
  - segmentation
  - dentalimaging
  - medicalimaging
  - image-segmentation
train-eval-index:
  - config: plain_text
    task: semantic_segmentation
    task_id: semantic_segmentation
    splits:
      train_split: train
      eval_split: test
    col_mapping:
      image: image
      label: image

Dataset Card for [Dataset Name]

Table of Contents

• Table of Contents
• Dataset Description
  • Dataset Summary
• Dataset Structure
  • Data Instances
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Other Known Limitations
• Additional Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage: https://github.com/SerdarHelli/Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Net
• Repository: https://github.com/SerdarHelli/Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Net
• Paper: Tooth Instance Segmentation on Panoramic Dental Radiographs Using U-Nets and Morphological Processing
• Leaderboard:
• Point of Contact: S.Serdar Helli

Dataset Summary

Semantic-Segmentation-of-Teeth-in-Panoramic-X-ray-Image

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.

Github Link

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.

Supported Tasks and Leaderboards

Dataset Structure

Data Instances

An example of 'train' looks as follows.

{
    "image": X-ray Image (Image),
    "label": Binary Image Segmentation Map (Image)
    
}

Dataset Creation

Source Data

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.

Annotations

Annotation process

The annotation was made manually.

Who are the annotators?

S.Serdar Helli

Other Known Limitations

To Check Out:

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.

Additional Information

Citation Information

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}
}

Contributions

Thanks to @SerdarHelli for adding this dataset.