Abstract:
Lung and bronchial Cancer is one of the world’s leading cause of death. It is world’s second deadliest disease which is now getting very common among men and women. Due to rapid deformation of climate, excess use of tobacco and working in hazardous waste side i.e. nuclear waste, explosive demolition centers left traces of harmful gases in air, which later can cause lung cancer and other fatal diseases. Cure of this deadliest disease is only possible by regularly examining of individuals, who are working and are exposed to health hazardous environment. X-rays images and Computed Tomography (CT) scans are the sources to detect nodules in lungs, which are the primary source of lungs cancers. Detection, identification and classification of these nodules are always a challenging job for doctors and researchers in medical imaging field. Researchers have developed many methods for nodules detection. Some of these methods include machine learning and artificial neural network. In this paper we have discusses few of these methods both from machine learning and artificial neural network for the early detection of nodules from CT scan.
