Detection of lung cancer using marker-controlled watershed transform

The major cause of cancer death is lung cancer. Detection of cancer in the early phase can provide more treatment options, less invasive surgery and increases the survival rate. For lung cancer, if the disease is detected in time, the survival rate of patient increases from 14 to 49% in recent 5 years. It is the most dangerous and widespread disease in the world. The cancer cells present in lung causes lung cancer disease. This cells detection is very important issue for medical researchers. The chances of an effective treatment will significantly increases with early detection. The Computed Tomography (CT) images are used which are more efficient than X-ray. MATLAB is widely used software for the study of lung cancer detection from CT scan images. The process includes image pre-processing, image segmentation, feature extraction and classification technique. This present work proposes a method to detect the cancerous cells effectively from the lung CT scan images. It will minimize the detection error made by the physicians´ naked eye.