Effective Lung Cancer Diagnosis: A Survey

Background/Objectives: Lung cancer is one of the mostly deadliest cancers across the world. Various approaches have been used for diagnosis of lung cancer. This paper surveys various approaches used for lung cancer diagnosis. Methods/Statistical Analysis: This paper classifies techniques in the following ways, 1) Data mining approach, 2) Medical approach, 3) Biophotonic imaging approach. Also discusses the various pros and cons of these approaches. Findings: This paper surveys the different approaches used for lung cancer diagnosis. Improvements/Applications: It provides the efficient way for early detection of lung cancer. It reduces the death rate and increases the survival rate.