AI RESEARCH
Learning Spatial-Preserving Hierarchical Representations for Digital Pathology
arXiv CS.CV
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ArXi:2406.09333v3 Announce Type: replace Whole slide images (WSIs) pose fundamental computational challenges due to their gigapixel resolution and the sparse distribution of informative regions. Existing approaches often treat image patches independently or reshape them in ways that distort spatial context, thereby obscuring the hierarchical pyramid representations intrinsic to WSIs. We