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LightMIS: Ultra-Lightweight Medical Image Segmentation Without a Stage-Wise Decoder
We present LightMIS, a scalable family of ultra-lightweight convolutional networks for 2D binary medical image segmentation without a learned stage-wise decoder. LightMIS aligns the outputs of a five-level encoder to a common resolution using Scale-Aligned Projection blocks, aggregates them once, an
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