A High-Accuracy Detection System: Based on Transfer Learning for Apical Lesions on Periapical Radiograph

• Main Authors: Chuo, Yueh, Lin, Wen-Ming, Chen, Tsung-Yi, Chan, Mei-Ling, Chang, Yu-Sung, Lin, Yan-Ru, Lin, Yuan-Jin, Shao, Yu-Han, Chen, Chiung-An, Abu, Patricia Angela R
• Format: text
• Published: Archīum Ateneo 2022
• Subjects: PA; CNN; tooth disease recognition; image segmentation; image preprocessing; Analytical, Diagnostic and Therapeutic Techniques and Equipment; Artificial Intelligence and Robotics; Computer Sciences; Dentistry; Medicine and Health Sciences; Physical Sciences and Mathematics
• Online Access: https://archium.ateneo.edu/discs-faculty-pubs/355; https://archium.ateneo.edu/cgi/viewcontent.cgi?article=1355&context=discs-faculty-pubs
• Institution: Ateneo De Manila University

Apical Lesions, one of the most common oral diseases, can be effectively detected in daily dental examinations by a periapical radiograph (PA). In the current popular endodontic treatment, most dentists spend a lot of time manually marking the lesion area. In order to reduce the burden on dentists,...