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Research questionHow can computational pathology distinguish disease signal from acquisition shortcuts in reactive brain tissue?Reactive brain tissue may still contain subtle disease-associated patterns, but slide size and sampling-related material can provide easier shortcuts. This makes it difficult to determine whether a model has learned pathology or merely the circumstances of tissue acquisition.
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Research Paper
Latest papersRecent research connected to this question, newest first.Seeing Beyond the Lesion: Disease Recognition from Reactive CNS TissueThe evidence covers 245 whole-slide images from 186 patients with confirmed downstream diagnoses, using frozen pathology foundation-model patch encoders in a shared attention-based multiple-instance learning framework. It examines coarse disease categories and three finer distinctions within common tissue categories, with provenance-only baselines, permutation testing, contribution maps, and expert review; the source reports comparable performance across four encoders.research paper · Sep 2, 2026
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