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Abstract

Lung cancer is one of the most frequent and leading cause of death worldwide. It is the second most severe disease in men and women with the smallest survival rate after diagnosis. Therefore, prediction and diagnosis at an early stage of lung cancer is crucial. This comparative study was conducted for various existing techniques for lung cancer nodule detection along three dimensions including imaging modalities, image processing techniques, and genetics evaluation. Imaging modalities were used to acquire a lung image to examine the lung field.Existing imaging modalities are illustrated in detail. A comparison has been made regarding different existing image processing techniques for lung nodule cancer detection through medical images. Moreover, genetics plays a vital role in the development of lung cancer. An overview of genetics structure with potential genes was also described for detection and prediction of risk evaluation of lung cancer.