Prediction of Lung Cancer using Convolution Neural Networks

Abstract

Lung cancer is one of the deadly diseases whose prediction is required to reduce the death rate. So, Artificial intelligence is used on CT scan images are used for achieving better accuracy in an automated manner. Deep Learning is one of the emerging trends for predicting values. Convolution Neural Networks is one of the deep learning algorithms which implemented to sample produces better outcomes as compared to other machine learning algorithms. In this paper, the data-set hasbeen taken with 1000 images of chest scans for different types of lung cancers such as Adenocarcinoma, Large Cell Carcinoma andSquamous Cell Carcinoma. Multiple machine learning algorithmshas been compared and then it has been confirmed that CNN is one of the best among all to check the accuracy of the prediction. The paper includes VGG - 16 implemented on data set having different types of Lung Cancer and thus helping to check the severity and precautions for the same in a distinct manner.