Explainable deep learning-based lung cancer diagnosis using clinically-guided local interpretable model-agnostic explanations.

Similarly, SSIM-based stability analysis demonstrated highly significant gains (p = 0.0033), confirming improved visual robustness and reproducibility of explanations.

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