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.
This tool helps dentists and dental professionals automatically identify and outline individual teeth on panoramic X-ray images. You input a standard panoramic X-ray, and it outputs an image highlighting each tooth, along with measurements. This allows for quicker and more consistent diagnostic information for managing various dental conditions.
163 stars. No commits in the last 6 months.
Use this if you need to rapidly and accurately segment teeth in panoramic dental X-rays for diagnostic purposes or treatment planning.
Not ideal if you are looking for a tool to analyze other dental structures like jawbones or soft tissues, or if you primarily work with periapical or bitewing X-rays.
Stars
163
Forks
42
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Apr 11, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/SerdarHelli/Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Net"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
aelefebv/nellie
Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in...
GewelsJI/VPS
Official website for "Video Polyp Segmentation: A Deep Learning Perspective (MIR 2022)"
MIC-DKFZ/medicaldetectiontoolkit
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors...
mahmoodlab/HIPT
Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)
gaudot/SlicerDentalSegmentator
3D Slicer extension for fully-automatic segmentation of CT and CBCT dental volumes.