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Medical Image Segmentation Review: The success of U-Net., , , , , , , , , and . CoRR, (2022)DAE-Former: Dual Attention-Guided Efficient Transformer for Medical Image Segmentation., , , , and . PRIME@MICCAI, volume 14277 of Lecture Notes in Computer Science, page 83-95. Springer, (2023)DiSPLaY Multimodal MedSLset (Medical Sign Language Set)., , , , , , and . (July 2020)Enhancing Efficiency in Vision Transformer Networks: Design Techniques and Insights., , , , , , , , , and 1 other author(s). CoRR, (2024)Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation., , , , , , , and . WACV, page 1276-1286. IEEE, (2024)DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation., , , , and . CoRR, (2022)HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation., , , , , , and . CoRR, (2022)Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion Segmentation., , , and . ISBI, page 1-5. IEEE, (2023)HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation., , , , , , and . WACV, page 6191-6201. IEEE, (2023)Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation., , , , , , , and . CoRR, (2023)