Automatic deep learning segmentation of mandibular periodontal bone topography on cone-beam computed tomography images

This study presents a DL model for the CBCT-based segmentation of periodontal defects, demonstrating high accuracy and a 47-fold time reduction compared to SA methods, thus improving the feasibility of 3D diagnostics for advanced periodontitis.