  Lung cancer is one of the death threatening diseases among human beings.
Early and accurate detection of lung cancer can increase the survival rate from
lung cancer. Computed Tomography (CT) images are commonly used for detecting
the lung cancer.Using a data set of thousands of high-resolution lung scans
collected from Kaggle competition [1], we will develop algorithms that
accurately determine in the lungs are cancerous or not. The proposed system
promises better result than the existing systems, which would be beneficial for
the radiologist for the accurate and early detection of cancer. The method has
been tested on 198 slices of CT images of various stages of cancer obtained
from Kaggle dataset[1] and is found satisfactory results. The accuracy of the
proposed method in this dataset is 72.2%
