SerdarHelli/SegmentationOfTeethPanoramicXRayImages
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--- 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.
size_categories: - n<1K task_categories: - 图像分割（image-segmentation） task_ids: - 语义分割（semantic-segmentation） tags: - 牙齿分割（teeth-segmentation） - 牙科成像（dental-imaging） - 医学成像（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 --- # [数据集名称]数据集卡片 ## 目录 - [目录](#table-of-contents) - [数据集描述](#dataset-description) - [数据集概述](#dataset-summary) - [数据集结构](#dataset-structure) - [数据实例](#data-instances) - [数据集构建](#dataset-creation) - [遴选依据](#curation-rationale) - [源数据](#source-data) - [标注信息](#annotations) - [其他已知局限性](#other-known-limitations) - [附加信息](#additional-information) - [引用信息](#citation-information) - [贡献说明](#contributions) ## 数据集描述 - **主页：** [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) - **代码仓库：** [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) - **论文：** 《基于U-Net与形态学处理的全景牙科X光片牙齿实例分割》[https://dergipark.org.tr/tr/pub/dubited/issue/68307/950568](https://dergipark.org.tr/tr/pub/dubited/issue/68307/950568) - **排行榜：** - **联系人：** S.Serdar Helli ### 数据集概述 # 全景X光片牙齿语义分割 本研究旨在结合基于U-Net的深度学习方法与二值图像分析技术，实现单张全景牙科X光片中牙齿的自动语义分割与总长度测量，从而为牙科疾病、病症的诊疗提供辅助诊断信息。 **[GitHub链接]**(https://github.com/SerdarHelli/Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Net) ***仅含图像的原始数据集*** 数据集引用：H. Abdi、S. Kasaei与M. Mehdizadeh，《全景X光片下颌骨自动分割》，《医学成像期刊》，第2卷第4期，第44003页，2015年 [仅含原始图像的数据集链接](https://data.mendeley.com/datasets/hxt48yk462/1) ## 数据集结构 ### 数据实例 训练集的示例格式如下： { "image": X光图像（图像文件）, "label": 二值图像分割掩码（图像文件） } ## 数据集构建 ### 源数据 ***仅含图像的原始数据集*** 数据集引用：H. Abdi、S. Kasaei与M. Mehdizadeh，《全景X光片下颌骨自动分割》，《医学成像期刊》，第2卷第4期，第44003页，2015年 [仅含原始图像的数据集链接](https://data.mendeley.com/datasets/hxt48yk462/1) ### 标注信息 #### 标注流程 标注工作由人工完成。 #### 标注人员 S.Serdar Helli ### 其他已知局限性 本数据集关联的X光图像文件采用知识共享署名4.0国际许可协议进行授权。 如需了解更多信息，请参阅： ***仅含图像的原始数据集*** 数据集引用：H. Abdi、S. Kasaei与M. Mehdizadeh，《全景X光片下颌骨自动分割》，《医学成像期刊》，第2卷第4期，第44003页，2015年 [仅含原始图像的数据集链接](https://data.mendeley.com/datasets/hxt48yk462/1) ## 附加信息 ### 引用信息 用于本数据集标注的引用： @article{helli10tooth, title={基于U-Net与形态学处理的全景牙科X光片牙齿实例分割}, author={HELLİ, Serdar 与 HAMAMCI, Andaç}, journal={杜兹大学科学与技术期刊}, volume={10}, number={1}, pages={39--50} } 原始图像数据集引用： @article{abdi2015automatic, title={全景X光片下颌骨自动分割}, author={Abdi, Amir Hossein、Kasaei, Shohreh、Mehdizadeh, Mojdeh}, journal={医学成像期刊}, volume={2}, number={4}, pages={044003}, year={2015}, publisher={国际光学工程学会（SPIE）} } ### 贡献说明 感谢[@SerdarHelli](https://github.com/SerdarHelli)为本数据集的提交工作。
数据集概述
数据集摘要
- 任务类别：image-segmentation
- 任务ID：semantic-segmentation
- 标签：teeth-segmentation, dental-imaging, medical-imaging
- 训练与评估索引：
- 配置：plain_text
- 任务：semantic_segmentation
- 任务ID：semantic_segmentation
- 分割：
- 训练分割：train
- 评估分割：test
- 列映射：
- 图像：image
- 标签：image
数据集结构
-
数据实例：
{ "image": X-ray Image (Image), "label": Binary Image Segmentation Map (Image) }
数据集创建
- 源数据：
- 引用：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
- 注释：
- 注释过程：手动注释
- 注释者：S.Serdar Helli
- 其他已知限制：
- X-Ray图像文件根据Creative Commons Attribution 4.0 International license授权。
