Published Paper Details:

Recently lung cancer has become a major problem as every year there is an increasing number of rising fatalities. A significant quantity of research is being carried out on dimensions of genetic and inherited approaches to diagnose lung malignancy. The research includes numerous image processing tools that have attained the requisite key objectives when integrated and implemented in succession. There are various levels in the segmentation method to eventually reach its objective, which is to segment the lung malignancy. Pre-processing of the image happens first where such enhancement methods are used to strengthen and improve noise reduction in images. The process involves automatic generation of threshold which ensures the correct picture is chosen since cancer involves the diverse intensity of gray level. Therefore another procedure was adopted to eliminate cancer form threshold image. Some other method was utilized to eliminate cancer from threshold image. Eventually, by removing the thresholds and the other image, the lung cancer is effectively separated.