Abstract
Lung cancer is the leading cause of mortality in both men and women. However, the fatality rate can be decreased if lung cancer is detected early and treated effectively. Many countries have developed screening techniques to encourage the early diagnosis of lung cancer from Computed Tomography (CT) images, despite the fact that it is a highly challenging task for radiologists as it takes a lot of effort to manually recognize malignant lung nodules from the CT images. During the early screening phase, lung cancer is discovered; nevertheless, the clinical outcome is unpredictable. This study analyses the implementation of deep learning techniques in lung cancer detection.