Deep learning-based automatic segmentation of bone graft material after maxillary sinus augmentation.
Journal:
Clinical oral implants research
PMID:
38033189
Abstract
OBJECTIVES: To investigate the accuracy and reliability of deep learning in automatic graft material segmentation after maxillary sinus augmentation (SA) from cone-beam computed tomography (CBCT) images.