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Expand Up @@ -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

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