A Review on Detection of Lung Cancer Using Ensemble of Classifiers with CNN

Abstract

A thorough understanding of lung cancer and tumor development pathways has made significant advancements in lung cancer treatment. Lung cancer diagnosis and treatment in its early stages still require new techniques. Recent advancements in genetics, computational biology, and other technologies provide an opportunity to better understand the immunological landscape associated with early-stage lung carcinogenesis and the mechanism of lung cancer evolution. This review focuses on immunoediting and discusses new research on immunological alterations and biomarkers in pulmonary premalignancy and early-stage non-small cell lung cancer. By concentrating on developing innovative techniques for intercepting cancer before it advances to later stages, researchers have the potential to revolutionize lung cancer therapy and significantly improve clinical outcomes. The use of an Ensemble of Classifiers with a Convolution Neural Network could further enhance this approach.