Do Center Biases Propagate? Robustness of Pathology Foundation Models in Whole-Slide Image Classification

arXiv:2609.28231 · cs.CV, cs.AI · Submitted 2026-09-23 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-09-23

Updated: 2026-09-23

Terminology

• Robustness — 25× in this paper · explained in 5 episodes
• Foundation Model — 17× in this paper · explained in 3 episodes
• Foundation Models — 13× in this paper · explained in 7 episodes
• Multiple Instance Learning — 5× in this paper
• Aggregation — 3× in this paper · explained in 1 episode
• Multiple Instance Learning (MIL) — 3× in this paper · explained in 2 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• AUC — 1× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Towards Large-Scale Training of Pathology Foundation Models
• Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology

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