Early detection of lung cancer by nodule extraction — A survey

Early identification of lung cancer includes detection of uncertain nodules and classifying them into different condition of disease. The identification stage includes pattern matching and confirmation to increase accuracy, performed by fuzzy logic, support vector machine, statistical classifiers. The categorization stage involves matching characters (texture, shape and density) of the detected nodules to characters of normal cells (texture, shape and density) of nodules with known condition of disease (confirmed by sample extraction techniques). The nodule detection is mainly considered as it plays an important role in cancer detection nodules extracted are classified using neural network classifiers to differentiate between normal and abnormal lung cancer.