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Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Net
SerdarHelli/Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Net
Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Net is a image segmentation model from SerdarHelli. Use it for the image segmentation task on the model card, and read the license before you ship it in a product. It is set up for tf-keras.
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 pro…
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At a glance
- Task
- Image Segmentation
- Library
- tf-keras
- Access
- Public
- Created
- Mar 7, 2022
- Updated
- Jun 29, 2022
- SHA
- d56a43cd
Model card
From the Hugging Face model README
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.
Original Dataset
DATASET ref - H. Abdi, S. Kasaei, and M. Mehdizadeh, “Automatic segmentation of mandible in panoramic x-ray,” J. Med. Imaging, vol. 2, no. 4, p. 44003, 2015
Link DATASET for only original images.
Paper
BibTeX Entry and Citation Info
@article{helli10tooth,
title={Tooth Instance Segmentation on Panoramic Dental Radiographs Using U-Nets and Morphological Processing},
author={HELL{\.I}, Serdar and HAMAMCI, Anda{\c{c}}},
journal={D{\"u}zce {\"U}niversitesi Bilim ve Teknoloji Dergisi},
volume={10},
number={1},
pages={39--50}
}
- Task
- Image Segmentation
- Library
- tf-keras
- Created
- Mar 7, 2022
- Updated
- Jun 29, 2022