Applying network dissection, Grad-CAM, activation maximization, and test-time dropout to three 2D brain tumor segmentation networks suggests filter-level concepts and coarse-to-fine localization, with high uncertainty on misclassified regions.
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Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis
Applying network dissection, Grad-CAM, activation maximization, and test-time dropout to three 2D brain tumor segmentation networks suggests filter-level concepts and coarse-to-fine localization, with high uncertainty on misclassified regions.