性能优于Swin-Unet、TransUNet等网络 论文地址:https://arxiv.org/pdf/2111.04734.pdf 代码地址:https://github.com/Dootmaan/MT-UNet 摘要 Method 如图1所示。该网络基于编码器-解码器结构 为了降低计算成本,MTMs只对空间大小较小的深层使用, 浅层仍然使用经典的卷积运算。这是因为浅层主要关注局部信息,包含更多...
To this end, we follow the typical U-Net based encoder-decoder architecture (MT-UNet) where the densely connected deep convolutional neural network (CNN) based feature encoder is shared among the tasks while the soft attention based task-specific decoder modules produce the desired outputs. ...
To tackle this, this paper proposes a explainable FSL network, "MTUNet++," which integrates an attention mechanism to emphasize relevant regions in medical images. Furthermore, integrating a generative adversarial network, enhances the performance of MTUNet++by generating synthetic medical images. ...
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To this end, we follow the typical U-Net based encoder-decoder architecture (MT-UNet) where the densely connected deep convolutional neural network (CNN) based feature encoder is shared among the tasks while the soft attention based task-specific decoder modules produce the desired outputs. ...
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We used three public retinal fundus datasets to evaluate MTPA_Unet, respectively, DRIVE, CHASE DB1, and STARE. Experimental results show that the network achieves better segmentation performance. The main research of the paper is as follows: A TPA module is proposed to replace the MSA structure...
uNetCams allows you to monitor multiple live video and audio feeds directly from network cameras (1000+ models of network cameras from 100+ manufacturers) and b…
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