A Review on Image Processing Methods in Detecting Lung Cancer Using CT Images

Lung cancer is the most common cancer for death among all cancers and CT scan is the best modality for imaging lung cancer. A good amount of research work has been carried out in the past towards CAD system for lung cancer detection using CT images. It is divided into four stages. They are pre-processing or lung segmentation, nodule detection, nodule segmentation and classification. This paper presents in detail literature survey on various techniques that have been used in Pre-processing, nodule segmentation and classification.