Automated Detection System Based on Convolution Neural Networks for Retained Root, Endodontic Treated Teeth, and Implant Recognition on Dental Panoramic Images

• Main Authors: Chen, Shih-Lun, Chen, Tsung-Yi, Mao, Yi-Cheng, Lin, Szu-Yin, Huang, Ya-Yun, Chen, Chiung-An, Lin, Yuan-Jin, Hsu, Yo-Ming, Li, Chi-An, Chiang, Wei-Yuan, Wong, Kai-Yi, Abu, Patricia Angela R
• Format: text
• Published: Archīum Ateneo 2022
• Subjects: Teeth; Dentistry; Image segmentation; Urban areas; Training; Sensors; Implants; Convolutional neural network (CNN); image enhancement; image segmentation; Panoramic (PANO); tooth disease recognition; Computer Sciences; Physical Sciences and Mathematics
• Online Access: https://archium.ateneo.edu/discs-faculty-pubs/336; https://doi.org/10.1109/JSEN.2022.3211981
• Institution: Ateneo De Manila University

For a daily dental practice, the Panoramic (PANO) X-ray film is one of the most commonly used dental X-rays. One of its important advantages is the coverage of most anatomic structures and clinical findings in a single film. Important information about clinical treatment and diagnosis can be provide...