# SerdarHelli/Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Net

<https://repo.masters-masters.com/en/repos/SerdarHelli/Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Net>

[Home](https://repo.masters-masters.com/en) › [SerdarHelli](https://repo.masters-masters.com/en/owners/SerdarHelli) › [Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Net](https://repo.masters-masters.com/en/repos/SerdarHelli/Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Net)

SerdarHelli/Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Net has 169 stars on GitHub. Its RepoMasters card: Prototype tier.

| Field | Value |
| --- | --- |
| Owner | [SerdarHelli](https://repo.masters-masters.com/en/owners/SerdarHelli) |
| Stars | 169 |
| Forks | 42 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | GPL-3.0 |
| Created | 2020 |
| Topics | segmentation, teeth, deep-learning, unet-image-segmentation, dental-clinic, dental-panoramic-images, x-ray-images, medical-imaging, dataset |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [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

The aim of this study is automatic semantic segmentation 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.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.