Harmonious parameters and performance: Lightweight convolutional stage and local feature weighted fusion MLP for medical image segmentation
Abstract: Highlights•A lightweight model (UConvNeXt) for medical image segmentation is proposed.•UConvNeXt surpasses SOTA methods with similar scale.•Compared to standard UNet, UConvNeXt is 17x smaller, and 3x faster.
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