DETECTION OF LUNG NODULE USING CONTENT BASED MEDICAL IMAGE RETRIEVAL

Lung cancer is the most important cause of cancer death for both men and women. The early detection of cancer can be helpful in curing the disease completely. So the requirement of techniques to detect the occurrence of cancer nodule in early stage is increasing. There are different technique exists but none of those provide better accuracy of detection. This provides content based medical image retrieval Computer Aided Diagnosis System (CAD) for early detection of lung cancer nodules from the Chest Computer Tomography (CT) images. There are different phases involved in the proposed CAD system. They are extraction of lung region from chest computer tomography images, segmentation of lung region, feature extraction from the segmented region, and classification of occurrence and non occurrence of cancer in the lung.