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

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.

Date Created 2020-08-11 (3 years ago)

Commits 72 (last one about a year ago)

Stargazers 112 (0 this week)

Watchers 5 (0 this week)

Forks 33

License gpl-3.0

Ranking

RepositoryStats indexes 534,551 repositories, of these SerdarHelli/Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Net is ranked #252,364 (53rd percentile) for total stargazers, and #317,223 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #5,920/14,929.

SerdarHelli/Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Net is also tagged with popular topics, for these it's ranked: deep-learning (#4,531/7827), dataset (#528/1057), segmentation (#318/579), medical-imaging (#128/255)

All Topics

teeth dataset segmentation x-ray-images deep-learning dental-clinic medical-imaging dental-panoramic-images unet-image-segmentation

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

7 commits on the default branch (master) since jan '22

Yearly Commits

Commits to the default branch (master) per year

Issue History

Languages

The primary language is Jupyter Notebook but there's also others...

updated: 2024-06-18 @ 08:21am, id: 286751024 / R_kgDOERd5MA