Detection of Lung cancer using Digital image Processing techniques and Artificial Neural Networks

Abstract

In today's life digital image processing plays keys role. Digital Image processing using in medical field changes the medical world drastically. Medical imaging is growing speedily due to developments in image processing techniques including image recognition, analysis and enhancement. Now a day's different types diseases that have facing humans in daily life. In this Lung cancer is one of the major diseases that show devastating in humans heavily. Lung cancer is one of the major causes of death in humans. Lung cancer is normally carried out by trained professionals and these are majorly helpful in early stage of detection. This detection method introduces the possibility of human errors which consequences an automated process. In this paper it is mainly aims to detect the lung cancer at an early stage through an automated process and reduces the human errors and gets the accurate results. There are different types of processing techniques are currently using. Artificial neural network processing plays important role to identify the cancer tissues which are in lungs. Early stage of detection will save the human life.