Liver Tumor Segmentation and Classification: A Systematic Review
Munipraveena Rela, Nagaraja Rao Suryakari, P. Ramana Reddy
Abstract
The major tissue in the abdomen of the human body is the liver, it has complex structure. Primary liver cancers can be classified as Hepatocellular carcinoma and Cholangiocarcinoma. In these two liver cancers, hepatocellular is a common type, this is the reason for most common liver cancer-causing death worldwide. Computed Tomography (CT) is the maximum considerably used imaging method for the identification and treatment of liver tumors. The tumor must be treated at the early stage, if not, it is going to cause several complications. The traditional methods used for detection of the tumor are time-consuming, give the error in detection, and these methods require experts to analyze the tumor. Hence automatic and integrated methods are required to use instead of traditional methods. Liver tumor segmentation from CT image is very important to analyze the liver function, pathological and anatomical study of the liver. It is also important for the diagnosis of disease. This paper discusses various methods for early detection of liver tumors and also discussed the merits and demerits of these methods.