From a3367530ff1857235eaabfe7413a68159eaba959 Mon Sep 17 00:00:00 2001
From: whw0413 <142866297+whw0413@users.noreply.github.com>
Date: Mon, 24 Mar 2025 13:11:33 +0800
Subject: [PATCH] Update README.md

new
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 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
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@@ -61,7 +61,7 @@ distributed training methodologies for both training and evaluation phases. The
 
 We provide GitHub links pointing to the PyTorch implementation code for all networks compared in this experiment here, so you can easily reproduce all these projects.
 
-[U-Net+AttGate](https://github.com/tjboise/APCGAN-AttuNet); [Bisenet](https://github.com/ooooverflow/BiSeNet); [Dunet](https://github.com/RanSuLab/DUNet-retinal-vessel-detection); [DeepLab](https://github.com/fregu856/deeplabv3); [FCN](https://github.com/shelhamer/fcn.berkeleyvision.org);[GCN](https://github.com/sungyongs/graph-based-nn); [ICNet](https://github.com/hszhao/ICNet); [LEDNe](https://github.com/xiaoyufenfei/LEDNet); [OCNet](https://github.com/thuyngch/Fast-LightWeight-SemSeg-Papers); [PSPNet](https://github.com/hszhao/PSPNet);[R2U-Net+AttGate](https://github.com/lixiaolei1982/Keras-Implementation-of-U-Net-R2U-Net-Attention-U-Net-Attention-R2U-Net.-); [R2U-Net](https://github.com/LeeJae-hoon/Dense-Recurrent-Residual-U-Net-with-for-Video-Quality-Mapping); [U-Net](https://github.com/milesial/Pytorch-UNet)
+[U-Net+AttGate](https://github.com/tjboise/APCGAN-AttuNet); [Mask2Former](https://bowenc0221.github.io/mask2former/); [Dunet](https://github.com/RanSuLab/DUNet-retinal-vessel-detection); [DeepLab](https://github.com/fregu856/deeplabv3); [FCN](https://github.com/shelhamer/fcn.berkeleyvision.org);[GCN](https://github.com/sungyongs/graph-based-nn); [Swin-Unet](https://github.com/HuCaoFighting/Swin-Unet); [MedT](https://github.com/jeya-maria-jose/Medical-Transformer); [OCNet](https://github.com/thuyngch/Fast-LightWeight-SemSeg-Papers); [PSPNet](https://github.com/hszhao/PSPNet);[R2U-Net+AttGate](https://github.com/lixiaolei1982/Keras-Implementation-of-U-Net-R2U-Net-Attention-U-Net-Attention-R2U-Net.-); [R2U-Net](https://github.com/LeeJae-hoon/Dense-Recurrent-Residual-U-Net-with-for-Video-Quality-Mapping); [MaxViT](https://github.com/google-research/maxvit)
 
 ### Compare with others on the IVUS dataset