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Author

Christopher M. Trombley

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Aug 2026

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.

M. Gulum, M. Kantardzic, Christopher M. Trombley et al. · 0 citations

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