A Recent Survey on Radiomics: Proceedings and Applications for Lung Cancer Detection

Lung cancer is the primary reason for mortalities among cancer-affected persons worldwide. We are living in a decade of emerging personalized and targeted medicine. With the help of the current advancements in the imaging hardware's, in terms of quality, sensitivity and resolution, and the computing capabilities of the vast amount of data made personalized medicine possible. Non-invasive diagnosis is often required to detect lung cancer before actual clinical treatment started. Here come the latest radiomics proceedings using the advanced imaging technologies and high throughput computing capabilities aid the radiologists to diagnosis the lung cancer at a primitive stage. This paper, we survey the latest published scientific literature on Computer-Aided Decision Support Systems (CAD), which uses the radiomics proceedings to prognosis lung cancer.