DS-TransUNet: Dual Swin Transformer U-Net for Medical Image Segmentation

Volume: 71, Pages: 1 - 15
Published: Jan 1, 2022
Abstract
Automatic medical image segmentation has made great progress owing to the powerful deep representation learning. Inspired by the success of self-attention mechanism in Transformer, considerable efforts are devoted to designing the robust variants of encoder-decoder architecture with Transformer. However, the patch division used in the existing Transformer-based models usually ignores the pixel-level intrinsic structural features inside each...
Paper Details
Title
DS-TransUNet: Dual Swin Transformer U-Net for Medical Image Segmentation
Published Date
Jan 1, 2022
Volume
71
Pages
1 - 15
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