ScaleFusionNet: transformer-guided multi-scale feature fusion for skin lesion segmentation.

Although the performance gains may not be significant, from the perspective of parameter count and computational complexity, ScaleFusionNet reduces the number of parameters by 37.7% and decreases the computational load by 22.5% compared with D-LKA.

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