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Institute of Pathology, Ludwig Maximilian University of Munich, Munich, Germany, Division of Translational Medical Oncology, DKFZ, Heidelberg, Germany; NCT Heidelberg, Heidelberg, Germany
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Symb-xMIL transforms MIL interpretability by revealing the hidden logical rules that govern model predictions, exposing decision patterns that traditional heatmaps miss.
Attention heatmaps in MIL models for histopathology are often misleading, and simpler methods like perturbation or LRP provide more faithful explanations.
