M²SNet uses intra- and inter-layer multi-scale subtraction units plus a training-free LossNet to generate difference features that reduce redundancy in decoder fusion for medical segmentation.
Bcs-net: Boundary, context, and semantic for automatic covid-19 lung infection segmentation from ct images
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M$^{2}$SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentation
M²SNet uses intra- and inter-layer multi-scale subtraction units plus a training-free LossNet to generate difference features that reduce redundancy in decoder fusion for medical segmentation.