Assessment on Liver Disease Classification using Medical Image Processing

Abstract

Chronic hepatic disease (CHD) is progressive fatal disease which is often asymptomatic. CHD has increased mortality and morbidity rate even in developed countries also. Invasive and non-invasive methods are used to classify and stage the CHD. In the research, using Ultra Sonographic images (US), clinical finding and laboratory findings for the staging of CHD is done. There are three stages of CHD which are Chronic Hepatitis, Compensated Cirrhosis and Decompensated cirrhosis. For invasive method, liver biopsy is done followed by histopathological examinations. Results of liver biopsy have some complications. So, non-invasive procedures are used as a safe alternative for liver biopsy.This paper presents current various methods of segmentation based on medical liver images. And also, this paper focuses on the work of various segmentation and classification methods that has been proposed to diagnosis many liver diseases.