Dual-Model Deep Learning Framework for Tooth Segmentation and Multi-Condition Detection in Panoramic Radiographs
Orthopantomogram (OPG) radiographs are one of the main pillars of dental diagnosis, yet their interpretation is subjective, time consuming, and expensive depending on the radiologist. We suggest a deep learning structure to solve this by adding U-Net-based tooth segmentation and YOLOv8-based object detection to analyze...