AN EFFICIENT LUNG CANCE R DETECTION BASED ON ARTIFICIAL NEURAL NETWORK

Cancer is the most impo rtant cause of death for both men and women. The early detection of cancer can be helpful in curing the disease completely. In this paper an ANN b ase approach is proposed to identify lung cancer from the raw chest x - ray images. It mainly consists of three stages; they are pre - processing, feature extraction and classification. The pre - processing involves resizing so that the further processing is eas ier. Feature Extraction involves extracting the features. The classification stage involves Artificial Neural network. Raw X - ray chest images are valuable in lung cancer diagnosis. On this basis, a lung cancer identification system is developed to analyze those features to judge whether lung cancer is present or not.