| # 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. | |
| [***Try Demo App On Hugging Face***](https://huggingface.co/spaces/SerdarHelli/Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Net) | |
| ***Original Dataset*** | |
| 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) | |
| ### Paper | |
| [The authors of this article are Selahattin Serdar Helli and Andaç Hamamcı with the Department of Biomedical Engineering, Faculty of Engineering, Yeditepe University, Istanbul, Turkey](https://dergipark.org.tr/tr/pub/dubited/issue/68307/950568) | |
| ### BibTeX Entry and Citation Info | |
| ``` | |
| @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} | |
| } | |
| ``` |