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Architecture-aware Robustness Evaluation of Explainable Deep Learning for Breast Cancer Diagnosis
Explainable Artificial Intelligence (XAI) has become essential in medical image analysis to ensure transparency of deep learning (DL)-based diagnostic systems. However, selecting appropriate XAI techniques for breast cancer recognition remains largely ad hoc, with limited systematic evaluation acros
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