In this paper, a specific feature analysis of liver ultrasound images including normal liver, liver cancer especially
hepatocellular carcinoma (HCC) and other hepatopathy is discussed. According to the classification of hepatocellular
carcinoma (HCC), primary carcinoma is divided into four types. 15 features from single gray-level statistic, gray-level
co-occurrence matrix (GLCM), and gray-level run-length matrix (GLRLM) are extracted. Experiments for the
discrimination of each type of HCC, normal liver, fatty liver, angioma and hepatic abscess have been conducted.
Corresponding features to potentially discriminate them are found.