arxiv
PublishedJune 5, 2026 at 4:00 AM
Symb-xMIL: Symbolic Explanations for Multiple Instance Learning in Digital Pathology
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arXiv:2606.06224v1 Announce Type: cross Abstract: Explanations of multiple instance learning (MIL) models are widely used for validation and discovery in digital histopathology. Existing methods primarily rely on heatmaps that highlight influential regions but do not explain how evidence from differ
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Originally published on arxiv ↗