Published Paper Details:

Lung cancer is currently the most frequently diagnosed major cancer in the world. This is largely due to the carcinogenic effects of cigarette smoke. Over the coming decades, changes in smoking habits will greatly affect primarily those influence lung cancer incidence and mortality as well as the prevalence of various histologic types of lung cancer. Since many years, more women have died each year of lung cancer than of breast cancer. Imaging techniques such as Computed Tomography (CT), Magnetic Resonance Imaging (MRI), and X-ray are used for capturing images of the lungs for analysis. Among the approaches described, the CT image technique is the most prevalent. It is difficult for doctors to interpret and detect cancer. Lung cancer can be diagnosed with high accuracy using CT scans. Early detection can save you a significant amount of time. We predict the type of tumor using CT scan images of benign, malignant, and normal cases using deep learning CNN architectures such as VGG16, resNet50, and a two-layer convolutional model in the early stages.