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Open access Sep 2026

Performance-interpretability trade-offs and generalization in deep learning for pneumonia detection: A benchmarking study

A reproducible, end-to-end methodology that jointly optimizes performance and interpretability, offering practical guidance for selecting and deploying explainable deep learning models in clinical pneumonia screening is contributed.

Francisco A. Gómez-Vela, Aurelio López-Fernández, F. Divina et al. · 0 citations

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