Abstract: Segmentation of hippocampus based on magnetic resonance imaging (MRI) is important for computer-aided diagnosis of neurological diseases. The precise delineation of the boundaries of the hippocampus is a prerequisite for calculating its volume and for its shape measurement. Manual segmentation of the hippocampus process is time-consuming and lacks repetitive, therefore, the development of automated segmentation algorithm has vital significance. In this paper, the progress of hippocampus automatic segmentation in MRI brain images was reviewed. The merits and demerits of each algorithm were analyzed. The future development of hippocampal segmentation methodology was also discussed.