European Journal of Molecular & Clinical Medicine

Abstract

Lung cancer is also the most serious illness of the day for smokers. Small cell lung cancer
(SCLC) is the fatal type of lung cancer. This days, tumour detection is getting difficult. It is only
in the final stage that this form of lung cancer can be detected. Computer assisted identification
(CAD) and diagnosis mechanisms for lung cancer are an essential indicator of lung
segmentation, as the execution of those mechanisms is based on the execution of computed
tomography (CT) lung segmentation images. Image recognition system is commonly used for
early identification and treatment. Lung cancer prediction, hereditary cell identification and
environmental factors are essential factors in the development of lung cancer prevention
strategies. By predicting the movement of tumour cell it will be easier to control the tumour
spreading. This can be achieved to decrease the growth of the tumour cells using the motion
prediction model. So this paper contrasts the methods used at the earlier level to identify lung
tumors.