Detection of lung cancer stages using image processing and data classification techniques

Early detection of disease helps in decreasing the mortality rate. Lung cancer is curable disease if detected in its early stages. In recent year Image processing techniques are widely use in medical domain for image improvement in earlier detection. In this proposed approach image pre-processing techniques used like median filter for noise removal, High boost operator for enhancement and marker controlled watershed used for image segmentation then the feature extraction give suspicious region of interest of tumour. Finally describes the various classification techniques for detecting lung cancer.