Medical image segmentation

CoTr：基于CNN和Transformer进行3D医学图像分割
UNETR: Transformers for 3D Medical Image Segmentation
Swin-unet：用于医学图像分割的类UNET纯transformer
TransBTS：基于transformer的多模式脑肿瘤分割
TransUNet：变形金刚为医学图像分割提供强大的编码器（transformer进行医学图像分割文章_空想AI主义者的博客-CSDN博客_transformer图像分割）

1. Transformer—Unet

2.AttnUNet、

3.V-Net

4.SwinUNet

Swin-UNet由慕尼黑工业大学、复旦和华为在2021年5月提出。论文名称为：Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation

论文链接：arxiv.org/pdf/2105.0553

代码链接：github.com/HuCaoFightin

5.UTNet: UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation_Acmer_future_victor的博客-CSDN博客

6.TransFuse：融合Transformers和CNN用于医学图像分割

论文： https://arxiv.org/abs/2102.08005

7. MT-Unet :Mixed Transformer U-Net For Medical Image Segmentation

单位：浙江大学, 立命馆大学, 山口大学, 之江实验室
代码：https://github.com/Dootmaan/MT-UNet
论文：https://arxiv.org/abs/2111.0473

【1】Transformer-Unet | 如何用Transformer一步一步改进 Unet？_图像_UNet_分割

code ：GitHub - jeya-maria-jose/Medical-Transformer: Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021【6】TransFuse：融合Transformers和CNN用于医学图像分割 - 知乎

【7】MT-UNet：用于医学图像分割的混合Transformer U-Net - 知乎

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