Preprint
Aug 2026
Training-Free Out-of-Distribution Detection for Pathology Whole-Slide Images
Safe deployment of AI methods in medicine requires robust guardrails that detect when input data deviate from the training distribution to ensure that models provide predictions only within their scope of expertise and abstain otherwise. Out-of-distribution (OOD) detection can provide such safeguards and is extensively...
Sabri Mustafa Kahya, Richard R. Chen, Muhammet Sami Yavuz et al.
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