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README.md

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+# 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. 
+
+ [***Try Demo App On Hugging Face***](https://huggingface.co/spaces/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}
+}
+ ```