Lung Cancer Prediction System using CNN, ANN, And Naïve Bayes

For both men and women, lung cancer continues to be the primary cause of cancer-related mortality, and its prevalence is rising worldwide. we are creating a system that indicates the tumor location and predicts the type of the lung cancer by using three advanced and powerful models which are CNN, ANN and Naïve bayes. The core objective is to come into an accurate and an efficient result that helps doctors to diagnose and predict correctly. Therefore, CT scan is going to be the leading point of the process to use the three algorithms and to get images. The dataset from kaggle consists of CT scan images of three types of lung cancer. We use CNN as feature extraction and as classifier we use ANN and NB. An accuracy in ANN is 0.95% and in Naïve Bayes is 0.78% have been achieved.