K3. A region growing liver segmentation method with advanced morphological enhancement

Liver cancer (Hepatocellular carcinoma (HCC)) is considered one of the life threatening diseases that causes death. Early detection of HCC is considered as alive saving process. One of the important tools that helps in the early detection of HCC is image processing. This paper introduces a new size selection region growing based segmentation algorithm for highly accurate liver extraction from CT images. Our work was done in two main steps. We began by preprocessing the data set that we are going to start our segmentation process with. The data set consists of 69 case studies of different patients, among these studies we concentrate on 10 cases of different patients, liver positions, normal and up normal liver tissues. The second stage was extracting the liver from the CT images which was done in three consecutive steps thresholding, region growing and size selection morphological operations.