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ADVANCED HYPERPARAMETER OPTIMIZATION FOR LUNG CANCER DETECTION USING DENSEBEETLE NETWORK
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DOI：10.1016/j.chemolab.2025.105584.png)
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Abstract
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• Enhanced preprocessing using Gaussian filtering and CLAHE to improve CT image clarity and contrast • Powerful feature extraction with Residual Pyramid Attention-Enhanced DenseNet201, SE, and CBAM modules • High accuracy with 98.7% accuracy, 99.2% sensitivity, and 95.38% F1-score on the LUNA16 dataset
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