Abstract: Fusing the multi-scale global and local semantic information remains a challenging task for foundation models with computational costs and the need for effective long-range recognition.

Abstract: This paper proposed a cutting-edge multiclass teeth segmentation architecture that integrates an M-Net-like structure with Swin Transformers and a novel component named Teeth Attention Block ...