Mar 30, 2023 · We propose Dual Cross-Attention (DCA), a simple yet effective attention module that is able to enhance skip-connections in U-Net-based architectures for ...

We propose Dual Cross-Attention (DCA), a simple yet effective attention module that enhances skip-connections in U-Net-based architectures for medical image ...

We propose Dual Cross-Attention (DCA), a simple yet effective attention module that is able to enhance skip-connections in U-Net-based architectures for medical ...

Feb 27, 2024 · We propose Dual Cross-Attention (DCA) to enhance skip-connections in U-Net-based architectures for medical image segmentation.

Oct 28, 2024 · In this paper, we propose DATTNet, Dual ATTention Network, an encoder-decoder deep learning model for medical image segmentation. DATTNet is ...

This paper proposes a novel CTBlock that combines CNN and Transformer as the foundational encoder and develops a functional module called CTFusion.

Sep 9, 2024 · We propose Dual Cross-Attention (DCA), a simple yet effective attention module that is able to enhance skip-connections in U-Net-based ...

We propose Dual Cross-Attention (DCA), a simple yet effective attention module that is able to enhance skip-connections in U-Net-based architectures for medical ...

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Dual attention network for scene segmentation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 3146–3154. https://doi ...