This paper introduces PathoROB, the first systematic robustness benchmark for evaluating Foundation Models (FMs) used in digital pathology. The study investigates how susceptible these large-scale AI models are to learning non-biological technical features (like scanner hardware or staining variations) rather than focusing exclusively on biological signals. The authors present three novel metrics,...去小宇宙查看完整单集简介
前往小宇宙评论区与主播互动
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