Mamba attention gate workflow.
<p>Encoder () and decoder () features are weighted, combined, and passed through ReLU and sigmoid activations to compute attention weights (<i>ψ</i>). These weights refine , producing the final feature map () for improved segmentation.</p>
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2025
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