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Symb-xMIL: Symbolic Explanations for Multiple Instance Learning in Digital Pathology
Symb-xMIL quantifies alignment between MIL predictions and human-readable logical rules to expose decision patterns, recover ground-truth rules, and refine survival stratification beyond HPV status.
Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5