Liver segmentation: A survey of the state-of-the-art

With tremendous technological development in all ways of life, it has become necessary to develop the medical fields, including the diagnosis on which treatment is done; where the successful treatment depends on the preoperative. Examples for the preoperative such as planning to understand the complex internal structure of the liver and accurately localize the liver surface and its tumors; there are numerous algorithms proposed to do the automatic liver segmentation. In this survey paper, we analyze critically some of different published works for liver segmentation algorithms since 2007 till 2016. This paper also compares and contrasts the methods, datasets, results and limitation for each work. A comprehensive comparative analysis is conducted.