Sector Classification of Unerupted Maxillary Canines: A Deep Learning-Based Automated Framework Using Panoramic Radiographs.

Key Points

• The aim is to develop and assess an automated framework for classifying unerupted maxillary canines (UMCs) using deep learning techniques.
• Utilized deep learning algorithms for image analysis of panoramic radiographs.
• Developed an automated framework to classify UMCs into specific sectors.
• Compared the accuracy of the framework with human assessments.
• The automated framework achieves accuracy comparable to human classification.
• Reliability of the framework surpasses that of human evaluators.