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--- |
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tags: |
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- segmentation |
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- dentalimaging |
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- medicalimaging |
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- image-segmentation |
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metrics: |
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- f1 |
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- accuracy |
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datasets: |
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- SerdarHelli/SegmentationOfTeethPanoramicXRayImages |
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--- |
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# Semantic-Segmentation-of-Teeth-in-Panoramic-X-ray-Image |
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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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[***Github Link***](https://github.com/SerdarHelli/Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Net) |
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***Original Dataset*** |
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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 |
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[Link DATASET for only original images.](https://data.mendeley.com/datasets/hxt48yk462/1) |
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### Paper |
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[The authors of this article are Selahattin Serdar Helli and Andaç Hamamcı with the Department of Biomedical Engineering, Faculty of Engineering, Yeditepe University, Istanbul, Turkey](https://dergipark.org.tr/tr/pub/dubited/issue/68307/950568) |
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### BibTeX Entry and Citation Info |
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``` |
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@article{helli10tooth, |
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title={Tooth Instance Segmentation on Panoramic Dental Radiographs Using U-Nets and Morphological Processing}, |
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author={HELL{\.I}, Serdar and HAMAMCI, Anda{\c{c}}}, |
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journal={D{\"u}zce {\"U}niversitesi Bilim ve Teknoloji Dergisi}, |
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volume={10}, |
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number={1}, |
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pages={39--50} |
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} |
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``` |
