Shinta Amini Prativi

Development of a YOLOv9 model with angle loss for automatic detection of landmarks and cephalometric analysis

Abstract Artificial intelligence has been widely applied to identify anatomical landmarks on lateral cephalometric radiographs, reducing localization errors and improving the efficiency of cephalometric analysis. This study aimed to develop and evaluate an automated cephalometric...