Detection of Lung Cancer from CT Images Using Image Processing

Abstract

AbstractCancer is a life-threatening disease which involves abnormal cell division and invasion of such cells to other parts of the body as well. Lung cancer is medically named as Lung Carcinoma. Lung cancer may be diagnosed using Chest Radiographs or Computed Tomography (CT) scans. In order to detect the tumor accurately and more precisely we go for CT scan, which has less noise when compared to Magnetic Resonance Imaging (MRI) images. To further improve the quality and accuracy of images, Median filter and Watershed segmentation is used. MATLAB is an Image Processing Tool used to exploit a comprehensive set of standard algorithms for image processing, analysis and visualization. Here image processing techniques like pre-processing, segmentation and feature extraction are utilized to identify the exact location of the tumor in the lung using CT images as the input. This enables lung cancer to be detected and diagnosed for adequate treatment and medications without considerable time delay.KeywordsComputed TomographyLung cancerImage processingWatershed segmentationFeature extraction