Qi Hong

RCTE: A multi-class object detection framework for dental panoramic radiographs

Background Dental panoramic radiographs play an important role in oral disease screening, computer-aided diagnosis, and clinical treatment planning. However, accurate multi-class detection remains challenging due to small lesion sizes, ambiguous anatomical boundaries, insufficien...

APR-Net: a lightweight multi-scale attention network for oral disease detection

Abstract Multiclass object detection in oral images is important for oral disease screening and computer-aided assessment. Existing lightweight detection models still suffer from insufficient recognition of fine-grained lesions, weak feature representation of low-contrast patholo...