Sector Classification of Unerupted Maxillary Canines: A Deep Learning-Based Automated Framework Using Panoramic Radiographs. | Synapse
March 5, 2026
Sector Classification of Unerupted Maxillary Canines: A Deep Learning-Based Automated Framework Using Panoramic Radiographs.
Puntos clave
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.
Resumen
The developed framework provides an automated approach in sector classification of UMCs, whose accuracy is comparable to that of humans, but the reliability is greater.