2023
A Dynamic Cross-Scale Transformer with Dual-Compound Representation for 3D Medical Image Segmentation
ICASSP 2023accepted
Transformer models exploit multi-head self-attention to capture long-range information. Further, window-based self-attention solves the problem of quadratic computational complexity and provides a new solution for dense prediction of 3D images. However, Transformers miss structural information due t…