This book covers recent advancements in lung cancer and imaging, covering detection and classification. This volume examines Lung Nodule Detection, Lung Nodule and Features Extraction, and Modern Approaches for Lung Nodule Diagnosis. Nodule detection focuses on algorithmic and deep learning practises, and their related CT imaging and dynamic programming methods. The classification applications of texture and shape analysis for nodules are covered, including computerised methods for more effective detection. Finally, the book examines the modern approaches used for nodule diagnosis. Specific focus is placed on deep learning for automated classification, machine learning for data analysis, and CT automatic detection of nodules.