Automated Lung Cancer Classification Based on the Tissue Dielectric Property

This paper proposes an automated lung cancer classification model based on the dielectric and conductivity properties of lung tissues. In the proposed model, Extreme Gradient Boosting (XGBoost) is utilized to perform the classification and Whale Optimization algorithm (WOA) is employed to tune the hyper-parameters. Furthermore, to reduce the negative impact of data imbalance on model training, a m...