TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers

Author:

Chen JienengORCID,Mei JieruORCID,Li Xianhang,Lu Yongyi,Yu QihangORCID,Wei QingyueORCID,Luo Xiangde,Xie YutongORCID,Adeli Ehsan,Wang Yan,Lungren Matthew P.,Zhang Shaoting,Xing Lei,Lu Le,Yuille AlanORCID,Zhou YuyinORCID

Publisher

Elsevier BV

Reference44 articles.

1. The medical segmentation decathlon;Antonelli,2021

2. Swin-unet: Unet-like pure transformer for medical image segmentation;Cao,2022

3. End-to-end object detection with transformers;Carion,2020

4. Transunet: Transformers make strong encoders for medical image segmentation;Chen,2021

5. Chen, L.C., Zhu, Y., Papandreou, G., Schroff, F., Adam, H., 2018. Encoder-decoder with atrous separable convolution for semantic image segmentation. In: Proceedings of the European Conference on Computer Vision. ECCV, pp. 801–818.

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