The tooth numbering module classifies and numbering dental objects detected as a result of segmentation according to the FDI notation used universally by dentists.
A deep learning project for detecting and classifying teeth as normal or cavity using YOLOv12m. The model is integrated into a web application for real-time dental screening. Designed to enhance early diagnosis accessibility, with future improvements planned for dataset expansion, annotation quality, and robustness to real-world conditions.
Three-stage pipeline for automated dental analysis on panoramic X-rays quadrant detection, tooth enumeration, and pathology classification (caries, deep caries, periapical lesions, impacted teeth) using the DENTEX dataset.
T.C. Maltepe University Graduate Project (Tooth Detection and Numbering From Panoramic Radiography Adult Patients Using Artificial Neural Network)
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