A thesis compiled from the author's published works reports that activation maximization cannot interpret medical image classifiers, while prototype-based and feature-co-occurrence methods improve explainable and robust medical classification.
Novel robust automatic brain-tumor detection and segmentation using magnetic resonance imaging.IEEE Sensors Journal, 2024
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Human-aligned Deep Learning: Explainability, Causality, and Biological Inspiration
A thesis compiled from the author's published works reports that activation maximization cannot interpret medical image classifiers, while prototype-based and feature-co-occurrence methods improve explainable and robust medical classification.