Published Paper Details:

Lung Cancer is one of the dangerous disease which affects the human being easily. The reasons for getting lung cancer are Smoking, Exposure to secondhand smoke, Exposure to radon gas, Family history of lung cancer. Earlier there are some mechanisms for detecting lung cancer. The mechanisms are principal component analysis, naive Bayes, k-nearest neighbor, etc, but these algorithms give less accuracy and also these algorithms are used for smaller datasets. In this project we use neural networks that take large datasets and give more accuracy. The detection of lung cancer in early stages can save human lives and based on the symptoms also we can detect lung cancer. But based on the symptoms we can�t decide whether it is a lung cancer or sometimes, it might be another disease. In this project we are using Convolution neural networks to detect lung cancer. Here first we remove the noise from the image after that we divide the image into multiple segments then we find the features of the image i.e. we calculate the size of the nodule. Based on those features we detect lung cancer. This project will easily tell whether the patient has lung cancer or not.