Isolating Liver abnormalities in CT Scan Images Using Enhancement Based Technique

One of the most dangerous diseases that causes death is liver cancer. As faster as detection of liver tumors and other abnormalities, as chances of survival will be increased. There are many modalities of medical scanning such as CT scan can be adopted for early detecting of the presence of any liver abnormality. In this study many CT scan liver images were adopted to investigate the robust performance of the proposed segmentation method. The proposed technique is an enhancement histogram based method employed here for segmentation purpose. The results of the presented technique showed the success of the technique in isolating and extracting the abnormal regions adequately. As well as, the implemented segmentation technique succeeded to extract the approximated whole liver regions according to the consultation of the radiologist. The processed technique was evaluated by calculating its accuracy to extract abnormal regions and it was 100%, whereas for extracting the whole liver regions the accuracy was 90%. In this study, the percent relative surface area of the abnormal regions were calculated as well.