implements for DARU-Net via Pytorch
A method is based on a U-Net architecture and integrates two attention mechanisms: channel attention of squeeze-and-excitation (SE) blocks with residual connections, spatial attention of pyramid pooling module (PPM).
Related Paper: DARU-Net: A dual attention residual U-Net for uterine fibroids segmentation on MRI
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implements for DARU-Net via Pytorch
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