Deep‐Learning‐Based Automatic Measurement of the Distance Between the Maxillary Sinus and Maxillary Posterior Teeth on CBCT Images

Key Points

• The objective is to develop an automated system to measure the distance between the maxillary sinus and maxillary posterior teeth using deep learning methods.
• Developed an automated framework combining deep learning-driven segmentation and point cloud analysis.
• Utilized CBCT images to analyze anatomical variations.
• Ensured the framework adapts to different anatomical structures.
• Achieved reliable detection accuracy in identifying distances.
• Demonstrated effectiveness across diverse anatomical variations in maxillary scans.