Ya-Chu Chang

Active learning-assisted deep learning for automated maxillary sinus segmentation in dental cone-beam computed tomography

Background/purpose Accurate automated segmentation of the maxillary sinus in cone-beam computed tomography (CBCT) scans is crucial for dental implant planning, sinus lift procedures, and pathological assessment, yet there remains a notable lack of publicly available models and datasets for this task. This study develop...