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The document discusses the development of an artificial intelligence (AI)-powered spatial analysis tool for tumor-infiltrating lymphocytes (TIL) in non-small-cell lung cancer (NSCLC). The researchers developed an AI model, called Lunit SCOPE IO, that can analyze whole-slide images (WSI) and clas...
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We analyze the generalization of models trained by noisy iterative algorithms. We derive distribution-dependent generalization bounds by connecting noisy iterative algorithms to additive noise channels found in communication and information theory. Our generalization bounds shed light on several applications, ...
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