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.　©　2018,　Editorial　Department　of　Journal　of　Beijing　University　of　Technology.　All　right　reserved.