Soft Computing Based Tumor and Lymph Node Detection in Thoracic Images
Tharani.V
Lung is an important organ in our body which perform its function in both respiratory system and circulatory system. In recent years, Lung cancer is one of the most growing diseases in the world due to smoking. Early detection of Lung cancer leads to cure. But, early detection of Lung tumor through Medical Imaging techniques is not that much simple process. In this tumor detection, lymph nodes which are anatomical part of Human Lung cause false positives. In order to avoid false positives, a fully automatic differentiating method for Lung tumor and diseased lymph node from Computed Tomographic image of thoracic region. The detection and differentiation are performed in three stages, first detect all potential abnormalities in thoracic image, and then abnormalities are differentiated into lung tumor and diseased lymph nodes. Finally the lung tumor abnormalities are classified into Benign and Malignant tumors. These detection and differentiation are performed by Fuzzy logic and Neural Network to reduce false positive rate. sequin style items to wear for the party # IJSER # JOURNAL