Cancer is a disease in which the body's cells multiply uncontrollably. When referring to cancer that starts in the lungs, the term "lung cancer" is used. Lung disease is among the most prevalent illnesses that are impacted the initial phases of treatment to improve patient survival rates. Lymph nodes or other bodily organs may become affected by lung cancer once it has progressed from the lungs. Pulmonary cancer, also referred to as lung carcinomas the main reason for cancer-related deaths worldwide. By identifying malignancy that has not yet spread, computed tomography (CT) has the potential to avert hundreds of thousands of fatalities each year. A powerful and emerging technique for feature learning and pattern identification is deep learning. In this research, we developed a convolutional neural network model for the detection of lung cancer. According to our findings, Lung cancer is treated with convolutional neural networks diagnosis more often than other deep learning techniques.