Datasets:
Tasks:
Image Segmentation
Modalities:
Image
Formats:
parquet
Sub-tasks:
semantic-segmentation
Size:
< 1K
| 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](#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) | |
| ### 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.](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 | |
| 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.](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. |