Prediction of lung cancer using SVM and CNN

Abstract

The leading cause of cancer-related death is lung cancer. The windpipe, main airway, or lungs can all be the site of lung cancer onset. It results from the unchecked growth and spread of some lung cell types. Lung cancer diagnosis rates are higher in people with lung conditions like emphysema and a history of chest pain. The main risk factor for developing lung cancer in Indian men is excessive tobacco use, which includes smoking cigarettes and beedis. However, Indian women do not smoke as frequently, suggesting that there may be additional risk factors. Exposure to radon gas, air pollution, and chemicals at work are additional risk factors.
Early lung cancer detection has become crucial and simple thanks to image processing and deep learning techniques. Images from lung patient Computer Tomography (CT) scans are used in this study to identify and categorise lung nodules as well as to determine their level of malignancy. In this project, the CNN algorithm is being used to identify lung cancer in CT-SCAN images, and the dataset of CT-SCAN images was used to train the CNN algorithm.