readme: ---
  
  tags:
  - segmentation
  - dentalimaging
  - medicalimaging
  - image-segmentation
  metrics:
  - f1
  - accuracy
  datasets:
  - SerdarHelli/SegmentationOfTeethPanoramicXRayImages
  ---
  
  # 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. 
  
   [***Github Link***](https://github.com/SerdarHelli/Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Net)
  
  
  ***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.](https://data.mendeley.com/datasets/hxt48yk462/1)
  ### Paper  
  
  [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) 
  
  ### 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}
  }
   ```