Abstract:
Lung cancer is very dangerous for health. It mostly occurs in men due to smoking. It
is important to detect the lung cancer nodules and give them to doctors so that they
start treatment. This project is design to standardize the nodules detection method
which helps doctors to exam the CT images of lungs cancer more quickly and provide
more efficient results. This project also solves the problem of intrapersonal and
interpersonal variation which doctors face during the examination of CT scan images
of lungs cancer. In this project, we will detect the lung cancer nodules through CT
scan images. For this we provided two techniques. In first technique is thresholding
and in second technique we are using feature extraction that is principal component
analysis (PCA). Classifier is also used in second technique that is support vector
machine (SVM) .Evaluation of both techniques will be based on by comparing and
testing the both techniques.
