Computational and Clinical Approach in Lung Cancer Detection and Analysis

AbstractLung Cancer has been an issue of concern these days as there is an alarming toll of rising deaths every year. A good amount of research is pursued on aspects of the genetic and hereditary and also computational methods to detect Lung cancer. Even though there is a lack of awareness about this disease due to a colossal gap between technical and clinical research areas. Accordingly this research paper presents a comprehensive study on Lung Cancer detection in terms of simulation of medical images and clinical analysis wherein one of the KRAS mutations has been analysed in lung cancer patients and their lung images have been used for developing medical images with better tumour spot detection. The computational technique used for simulation purpose involves morphological image processing methods, which mainly work on the topological and shape content of the images acquired