Development and Internal Evaluation of a Deep Learning Model for Fine-Grained Detection of Dental Trauma on CBCT-Dominant Image Records.
OBJECTIVES To develop and internally evaluate a YOLO-based model for fine-grained localization and classification of dental trauma subtypes. METHODS This retrospective single-center study used a CBCT-dominant dataset of 1,256 annotated trauma instances (1,065 instances derived from sagittal CBCT images and 191 instan...