J. M. Angelo

SwinDent-Seg: Hybrid Swin transformer-CNN with cross-scale feature fusion for automated detection and segmentation of dental pathologies in panoramic radiographs.

Findings indicate that combining Transformer-based global contextual representation with CNN-based localization improves robust multi-class dental pathology segmentation and supports the development of reliable computer-aided diagnostic systems for panoramic radiographs.