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MoMIL: Multi-order enhanced multiple instance learning for computational pathology
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AI
DOI：10.1016/j.imavis.2026.105918.png)
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Abstract
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• Models multi-order sequences to capture richer global and structural WSI context. • Introduces efficient sequence squaring and reordering for robust spatial modeling. • Achieves superior performance with complementary multi-directional feature fusion.