Comparative Analysis of Pixel-Based Segmentation Models for Accurate Detection of Impacted Teeth on Panoramic Radiographs
Accurate detection of impacted teeth in panoramic radiographs is critical for effective diagnosis and treatment planning in dentistry.Traditional segmentation methods often face challenges in achieving accurate detection due to the anatomical complexity and variability of dental structures.This study aims to address these limitations by performing