A method to extract liver tumors in CT images using genetic algorithms and neural networks

Organ illness discovery in which medical image analysis can be used has been researched actively. Though such research proceeds through the extraction of pulmonary tumors, there is little research on the extraction of liver tumors. This is because there is no difference in the concentrated value in the liver CT image of a healthy part and parts with a tumor. An extraction method of such liver tumors is proposed. Furthermore, in order to demonstrate the effectiveness of the proposed scheme, we show a simulation example, using real CT image data