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The results from the ablation experiments, as shown in Table 3, indicate that using MC as the basic convolution block, inserting the MVCR module in the second subnetwork, applying the upsampling feature fusion method RUFF, integrating the CBAM attention mechanism post-convolution block, and incorporating the attention-gated AG in skip connections all improve network performance

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