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SerdarHelli/Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Net
Image Segmentation·SerdarHelli· 65· 14
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.
# pull & run locally
pip install mlforge-sdk && mlforge pull SerdarHelli/Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Net
pip install mlforge-sdk && mlforge pull SerdarHelli/Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Net
Model details
Task
Image Segmentation
Provider
SerdarHelli
Framework
tf-keras
Size
462 MB
Downloads
65
Likes
14
Updated
2022-06-29
About SerdarHelli/Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Net
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.