<ul><li>Automated detection of pulmonary nodules in CT scans is challenging due to variability in nodule characteristics.</li><li>Traditional CNNs have limitations in capturing fine-grained variations in medical images.</li><li>A new hybrid approach, Chebyshev-CNN, integrates Chebyshev polynomial expansions into CNN layers to improve representation of anatomical structures.</li><li>The Chebyshev-CNN model achieves superior performance in classifying pulmonary nodules and shows potential for broader applications in clinical decision support systems.</li></ul>

Hybrid CNN with Chebyshev Polynomial Expansion for Medical Image Analysis

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