AN EFFICIENT LUNG CANCER DETECTION BASED ON ARTIFICIAL NEURAL NETWORK

Abstract

Cancer is the most important 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 base 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 easier. 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.