The highly significant p -values across all evaluation metrics validate the architectural enhancements of our model, which enable superior feature extraction, the enhanced discrimination of tumor characteristics, and increased model robustness.
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Dynamic-Attentive Pooling Networks: A Hybrid Lightweight Deep Model for Lung Cancer Classification.
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