Classification of lung tumor using deep learning with hybrid particle swarm optimization based image enhancement technique

Abstract

Image processing is a method to extract valuable information from images. It is necessary for the improvement of pictorial information for human interpretation and processing of an image data for an autonomous machine perception. Image processing includes, importing the image, analyzing and manipulating the image and produce the output in the form of either image or report. With increasing use of digital imaging systems for medical diagnostics, digital image processing becomes more and more important in health care. Medical images processing plays a vital role in diagnosing the life threatening diseases and to identify the other abnormalities of the health care. In recent years, cancer is found to be one of the major diseases leading to mortality of human beings, among all types of cancers identified, lung cancer is found to be one of the life threatening disease. In worldwide, the mortality due to lung cancer is increasing gradually and it is estimated to reach 18 million in the year 2030. Lung cancer is uncontrolled growth of abnormal cells that can start either in one or both lungs. These abnormal cells does not develop into healthy lung tissue; rather they divide rapidly to form tumors and the tumors become larger and more numerous. Cancer begins in the lungs and the meantime it also metastasizing to other parts of the body like brain, bones, adrenal glands and liver either through the blood vessels or lymph system. The survival of patient with lung cancer is closely related to the stage in which it is diagnosed. Initially it is diagnosed as a tumor in lungs, tumor is an abnormal mass of tissue that may be solid or fluid-filled and it can be classified as either benign or malignant. Benign tumors are slow growing and confined to small area without causing much difficulty; it remains in one place and does not materialize to spread. Malignant tumors are more dangerous as they spread to other parts of the body and cancerous. So that it is essential to find and locate the malignant tumor as early as possible for the right diagnosis and prediction of patientand#8223;s prognosis, which is the chance of recovery. As tumors may not show symptoms in the early stage diagnosis, and probability of curing is reduced. newline