Image Segmentation Directed to Automatic Analysis of Quantitative Index of Liver Tissue Fibrosis

To automatically obtain the quantitative index of the liver tissue fibrosis,or computer morphometry （CM） score,an approach is proposed to segment liver pathological sections.By the approach, background regions are first removed based on the window texture coarseness image,and a new way based on Fisher criterion to optimize the color-character space and segment fibrosis areas is implemented.Then, we could calculate the fibrosis-tissue area ratio （CM score） based on the segmentation results.The experimental results indicate that CM scores acquired by using this approach greatly improved the objectivity and the efficiency of the liver fibrosis diagnosis in the traditional clinical methods.