A Novel Dlionabc Segmentation and Feature Selection Approach for Lung Cancer Recognition on CT Images Based on ICNN Classification

Abstract

The most common cause of death in the world is lung cancer. Lung newlinecancer is considered a remarkable cancer because it requires more than one million newlinelives a year. Lung cancer mortality rates are the most striking among other types of newlinetumors. The survival of pulmonary disease is determined especially with its newlineprogression at the time of recognition . Early recognition of cancer can help to cure newlinethe disease completely. Requiring early recognition of cancer is important. Early newlinerecognition of lung cancer is the most encouraging way to reduce the risk of newlinesurvival. The cancer stage in its study is a key predictor of survival and it defines newlinetreatment. There are different cancer recognition techniques in the literature, but newlinemost techniques do not provide significant recognition accuracy. A variety of newlineimaging modalities have been proposed to detect lung cancer. Computed newlineTomography (CT) is the most commonly used imaging technique newline