M. Kantardzic

Multi-view explainability and ensemble deep learning for prostate lesion classification: A comprehensive study.

These findings suggest that interpretability quality can be quantitatively assessed and improved through multi-method and ensemble-based analysis and enhances explanation robustness and supports reliable and transparent clinical decision support for prostate magnetic resonance imaging.