Interpretable Brain Tumor MRI Classification Using Layer-Wise Activation Patching and Indirect Effect Estimation
Despite the impressive diagnostic accuracy achieved by deep convolutional neural networks (CNNs), their decisionmaking processes are often challenging to interpret, which hinders clinical trust and widespread adoption. This paper introduces an interpretability framework based on activation patching for classifying brai...