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Implements a Mixture-of-Experts (MoE) framework for gigapixel whole-slide image classification using Optimal Transport and region-graph-based routing to handle pathological heterogeneity.
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The project introduces a sophisticated routing mechanism for MIL in pathology by combining MoE with Optimal Transport. While technically advanced and addressing a specific pain point in computational pathology (unbalanced MoE routing), it currently exists as a zero-star research repository, making its defensibility primarily tied to the complexity of the domain rather than ecosystem lock-in.
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