Lung cancer is a leading cause of death worldwide and early detection is important for successful treatment. The paper proposes a method to detect lung cancer in early stages using computed tomography (CT) scans by preprocessing images with histogram equalization, extracting features, and classifying whether the patient's condition is normal or abnormal using a classifier.