Datasets:
Tasks:
Image Segmentation
Modalities:
Image
Formats:
parquet
Sub-tasks:
semantic-segmentation
Size:
< 1K
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Create README.md
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README.md
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---
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size_categories:
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- n<1K
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source_datasets:
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- original
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task_categories:
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- image_segmentation
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task_ids:
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- semantic_segmentation
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- teeth_segmentation
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train-eval-index:
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- config: plain_text
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task: semantic_segmentation
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task_id: semantic_segmentation
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splits:
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train_split: train
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eval_split: test
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col_mapping:
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image: image
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label: image
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---
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# Dataset Card for [Dataset Name]
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## Table of Contents
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- [Table of Contents](#table-of-contents)
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Annotations](#annotations)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Other Known Limitations](#other-known-limitations)
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- [Additional Information](#additional-information)
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- [Citation Information](#citation-information)
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- [Contributions](#contributions)
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## Dataset Description
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- **Homepage:** [https://github.com/SerdarHelli/Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Net](https://github.com/SerdarHelli/Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Net)
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- **Repository:** [https://github.com/SerdarHelli/Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Net](https://github.com/SerdarHelli/Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Net)
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- **Paper:** [Tooth Instance Segmentation on Panoramic Dental Radiographs Using U-Nets and Morphological Processing](https://dergipark.org.tr/tr/pub/dubited/issue/68307/950568)
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- **Leaderboard:**
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- **Point of Contact:** S.Serdar Helli
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### Dataset Summary
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# Semantic-Segmentation-of-Teeth-in-Panoramic-X-ray-Image
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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.
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[***Github Link***](https://github.com/SerdarHelli/Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Net)
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***Original Dataset For Only Images***
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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
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[Link DATASET for only original images.](https://data.mendeley.com/datasets/hxt48yk462/1)
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### Supported Tasks and Leaderboards
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## Dataset Structure
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### Data Instances
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An example of 'train' looks as follows.
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```
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{
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"image": X-ray Image ,
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"label": Binary Image Segmentation Map
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}
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```
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## Dataset Creation
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### Source Data
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***Original Dataset For Only Images***
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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
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[Link DATASET for only original images.](https://data.mendeley.com/datasets/hxt48yk462/1)
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### Annotations
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#### Annotation process
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The annotation was made manually.
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#### Who are the annotators?
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S.Serdar Helli
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### Personal and Sensitive Information
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## Considerations for Using the Data
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### Other Known Limitations
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To Check Out:
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***Original Dataset For Only Images***
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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
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[Link DATASET for only original images.](https://data.mendeley.com/datasets/hxt48yk462/1)
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## Additional Information
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### Citation Information
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For Labelling
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```
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@article{helli10tooth,
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title={Tooth Instance Segmentation on Panoramic Dental Radiographs Using U-Nets and Morphological Processing},
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author={HELL{\.I}, Serdar and HAMAMCI, Anda{\c{c}}},
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journal={D{\"u}zce {\"U}niversitesi Bilim ve Teknoloji Dergisi},
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volume={10},
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number={1},
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pages={39--50}
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}
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```
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For Original Images
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```
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@article{abdi2015automatic,
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title={Automatic segmentation of mandible in panoramic x-ray},
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author={Abdi, Amir Hossein and Kasaei, Shohreh and Mehdizadeh, Mojdeh},
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journal={Journal of Medical Imaging},
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volume={2},
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number={4},
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pages={044003},
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year={2015},
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publisher={SPIE}
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}
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```
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### Contributions
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Thanks to [@SerdarHelli](https://github.com/SerdarHelli) for adding this dataset.
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