Evaluation of the Position of Impacted Maxillary Canines on Panoramic Radiographs Using Deep Learning with CBCT as the Reference Standard
Background/Objectives: This study aimed to detect impacted maxillary canines on panoramic radiographs using deep learning models, to classify their bucco-palatal position (buccal, mid-alveolar, palatal), to identify root resorption of adjacent teeth, and to classify the gamma angle according to the 65° threshold. Metho...