Computer Aided Lung Cancer Detection and Tumor Staging in CT image using Image Processing

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. Nowadays the lung cancer is staged according to the TNM staging method where T means Tumor, N means Nodule and M means Metastates. The existing lung cancer detection algorithms cannot stage cancer according to the TNM staging method. The proposed system can identify the T stage of the cancer accurately. The proposed system includes different stages such as preprocessing, segmentation, feature extraction, tumor detection and tumor stage identification. 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 200 slices of CT images of various stages of cancer obtained from Regional Cancer Centre Trivandrum and is found to give good results. The accuracy of the proposed method in this dataset is 94.4% General Terms Algorithms, Classification, Staging