Abstract: Highlights•Sparsity-guided SG-SRNet first explores the sparsity of medical images.•Patch selection algorithm can screen out the informative regions of medical image.•Cluster-based attention calculates attention between information-related tokens.•SG-SRNet brings significant performance enhancements with low complexity.
External IDs:dblp:journals/eswa/LuMQLHXT25
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