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EMCAD: Efficient Multiscale Convolutional Attention Decoding for Medical Image Segmentation CVPR2024

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Medical Image Segmentation via Cascaded Attention Decoding

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G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation

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[P031] MS-Former: Multi-Scale Self-Guided Transformer for Medical Image Segmentation

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The Fully Convolutional Transformer for Medical Image Segmentation

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[P165] Multi-scale Hierarchical Vision Transformer with Cascaded Attention Decoding for Segmentation

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ViTBIS: Vision Transformer for Biomedical Image Segmentation

UNET Transformers: UNETR Implementation for 2D Segmentation in TensorFlow

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UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation

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UNETR: Transformers for 3D Medical Image Segmentation

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Vision Transformer Quick Guide - Theory and Code in (almost) 15 min

TransUNet: Transformers make strong encoders for Medical image segmentation

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HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentatio

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AFTer-UNet: Axial Fusion Transformer UNet for Medical Image Segmentation

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Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation