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.

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

@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}
}