Automated classification of maxillary and mandibular dental views on intraoral photographs: a comparative benchmark study and mobile proof-of-concept.
This study benchmarks deep learning and machine learning approaches for classifying pediatric dental views using a publicly available dataset of 9,562 intraoral images from children aged 1-14 years, covering eight maxillary and mandibular view classes and highlights the potential of explainable, mobile-based AI systems...