Transcription of JOURNAL OF LA DS-TransUNet: Dual Swin Transformer U-Net ...
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JOURNAL OF LA DS-TransUNet: Dual Swin Transformer U-Net ...
JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, JUNE 20211DS-TransUNet: Dual Swin Transformer U-Netfor Medical Image SegmentationAiliang Lin, Bingzhi Chen, Jiayu Xu, Zheng Zhang,Senior Member, IEEE,and Guangming Lu,Member, IEEEA bstract Automatic medical image segmentation has madegreat progress benefit from the development of deep , most existing methods are based on convolutionalneural networks (CNNs), which fail to build long-range depen-dencies and global context connections due to the limitation ofreceptive field in convolution operation. Inspired by the successof Transformer whose self-attention mechanism has the powerfulabilities of modeling the long-range contextual information, someresearchers have expended considerable efforts in designing therobust variants of Transformer -based U-Net .
tract multi-scale features for image classification. Multi Vision Transformers (MViT) [22] is present for video and image recognition by connecting multi-scale feature hierarchies with transformer models. Multi-modal Multi-scale TRansformer (M2TR) [23] uses a multi-scale transformer to detect the local inconsistency at different scales.
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