Improving Dental Implant Outcomes: CNN-Based System Accurately Measures Degree of Peri-Implantitis Damage on Periapical Film

• Main Authors: Chen, Yi Chieh, Chen, Ming Yi, Chen, Tsung Yi, Chan, Mei Ling, Huang, Ya Yun, Liu, Yu Lin, Lee, Pei Ting, Lin, Guan Jhih, Li, Tai Feng, Chen, Chiung An, Chen, Shih Lun, Li, Kuo Chen, Abu, Patricia Angela R
• Format: text
• Published: Archīum Ateneo 2023
• Subjects: deep learning; image enhancement; neural networks; peri-implantitis; periapical radiograph; periodontitis; Biomedical; Computer Engineering; Electrical and Computer Engineering; Engineering
• Online Access: https://archium.ateneo.edu/discs-faculty-pubs/384; https://drive.google.com/file/d/1uXYR-L3ssxGPohORKFWpwylMCVUrW9wn/view?usp=sharing
• Institution: Ateneo De Manila University

As the popularity of dental implants continues to grow at a rate of about 14% per year, so do the risks associated with the procedure. Complications such as sinusitis and nerve damage are not uncommon, and inadequate cleaning can lead to peri-implantitis around the implant, jeopardizing its stabilit...