1 code implementation • 12 Jun 2021 • Ailiang Lin, Bingzhi Chen, Jiayu Xu, Zheng Zhang, Guangming Lu
To alleviate these problems, we propose a novel deep medical image segmentation framework called Dual Swin Transformer U-Net (DS-TransUNet), which might be the first attempt to concurrently incorporate the advantages of hierarchical Swin Transformer into both encoder and decoder of the standard U-shaped architecture to enhance the semantic segmentation quality of varying medical images.