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

Image Segmentation·SerdarHelli· 65· 14
tf-keras Image Segmentation dataset:SerdarHelli/SegmentationOfTeethPanoramicXRayImagesregion:us

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.

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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.

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