Detection and Characterization of Lung Tumor by Using Convolution Neural Network

Abstract In today’s modern world, lung cancer is the most common cause of death amongst humans. Most cancers are curable at early stages. So an and fast detection can save patient’s life. With new technology, possible initial stage. Formal method for diagnosis biopsy method. We have proposed system using convolution neural network disease. It more advantageous to patients. The diagnosing methodology uses image processing methods algorithm. DICOM (Digital imaging communications in medicine) lungs taken as input it goes under various preprocessing technique noise removal segmentation. These features given classifier. Convolution used classification purpose. classifies images into cancerous or non-cancerous.