Comparative Performance Analysis of AdaBoost-Assisted Deep Learning Models for Lung Cancer Nodule Detection
This work proposes a novel hybrid framework that combines preprocessing, segmentation, feature extraction, and classification for accurate nodule detection from computed tomography scans and concludes that SGD-optimized AlexNet offers the most reliable balance of sensitivity, specificity, and predictive values for LC n...