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 (4 years ago)

Commits 72 (last one about a year ago)

Stargazers 130 (0 this week)

Watchers 5 (0 this week)

Forks 37

License gpl-3.0

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RepositoryStats indexes 579,555 repositories, of these SerdarHelli/Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Net is ranked #241,171 (58th percentile) for total stargazers, and #331,043 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #5,746/16,901.

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 (#4,395/8344), dataset (#504/1130), segmentation (#306/625), medical-imaging (#125/279)

All Topics

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

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

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updated: 2024-10-24 @ 10:06am, id: 286751024 / R_kgDOERd5MA