Suay Yagmur Unal

Deep Learning-Based Evaluation of Impacted Third Molars with Open and Closed Apices on CBCT.

OBJECTIVE To develop and evaluate a deep learning approach for the automated segmentation of impacted third molars on cone-beam computed tomography (CBCT) images and the classification of each tooth's root apex as open or closed. STUDY DESIGN An observational study. Place and Duration of the Study: Department of Oral...