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