Automated Detection of Lung Cancer Using MRI Images

Among the type of cancer diseases, lung cancer is the leading cause of death for both men and women. Considering the new cases, it's the 2nd commonest type of cancer. Detection of lung cancer at the very early stage will assist physicians to provide proper medications to the patients to limit the cancer. A number of existing screening options such as CT, X-ray, MRI and numerous computerized approaches are available to detect lung cancer at the very early stage. But, due to cell structure it is still a challenging task. Additionally, its interpretation is still difficult and time consuming for the radiologists. An automated computerized approach can assist to make this process easier. This study delineates an automated approach for lung cancer detection using MRI images of lung. This study approach tends to provide an accuracy rate of 96.28% using conventional image processing approach and 96.55% using CNN based classification approach which possesses an acceptable accuracy rate.