Datasets:

SerdarHelli
/

SegmentationOfTeethPanoramicXRayImages

	---
	size_categories:
	- n<1K
	task_categories:
	- image-segmentation
	task_ids:
	- semantic-segmentation
	tags:
	- teeth-segmentation
	- dental-imaging
	- medical-imaging
	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](#table-of-contents)
	- [Dataset Description](#dataset-description)
	- [Dataset Summary](#dataset-summary)
	- [Dataset Structure](#dataset-structure)
	- [Data Instances](#data-instances)
	- [Dataset Creation](#dataset-creation)
	- [Curation Rationale](#curation-rationale)
	- [Source Data](#source-data)
	- [Annotations](#annotations)
	- [Other Known Limitations](#other-known-limitations)
	- [Additional Information](#additional-information)
	- [Citation Information](#citation-information)
	- [Contributions](#contributions)

	## Dataset Description

	- 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)
	- 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)
	- Paper: [Tooth Instance Segmentation on Panoramic Dental Radiographs Using U-Nets and Morphological Processing](https://dergipark.org.tr/tr/pub/dubited/issue/68307/950568)
	- 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*](https://github.com/SerdarHelli/Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Net)


	*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.](https://data.mendeley.com/datasets/hxt48yk462/1)

	## 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.](https://data.mendeley.com/datasets/hxt48yk462/1)


	### Annotations

	#### Annotation process

	The annotation was made manually.

	#### Who are the annotators?

	S.Serdar Helli


	### Other Known Limitations
	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.](https://data.mendeley.com/datasets/hxt48yk462/1)
	## 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](https://github.com/SerdarHelli) for adding this dataset.