Improving weakly-supervised lesion localization with iterative saliency map refinement

Abstract

Interpretability of deep neural networks in medical imaging is becoming an important technique to understand network classification decisions and increase doctors’ trust. Available methods for visual interpretation, though, tend to highlight only the most discriminant areas, which is suboptimal for clinical output. We propose a novel deep visualization… (More)

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