Detection of Lung Nodules from CT Image Based on Ensemble Learning

Lung cancer is the most frequently diagnosed cancer worldwide and the leading cause of cancer-related deaths, making early detection and treatment crucial.Temporal subtraction system, one of the CAD, emphasize the differences between the current and previous images.In this study, radiomics features are extracted as explanatory variables from the temporal subtraction images.Feature selection is performed using Elastic Net, followed by the application of machine learning methods.Finally, ensemble learning is applied to classify unknown data into two categories: positive and negative lung nodules.