Detection of Lung Cancer Nodules through CT scan Image (P-0101) (MFN 4823)

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.