To　investigate　whether　radiomic　features　of　hippocampal　subregion　can　be　used　as　biomarkers　for　the　diagnosis　of　temporal　lobe　epilepsy　(TLE)　patients,　and　to　explore　the　importance　of　some　radiomics　features　in　classification,　structural　magnetic　resonance　imaging　(sMRI)　was　performed　on　23　TLE　patients　and　30　healthy　controls　(HCs)　subjects.　Freesurfer　7.　2　software　was　used　for　segmentation　of　hippocampal　subregions.　Radiomics　features　of　hippocampal　subregion　were　extracted　by　using　3D　slicer　software.　After　feature　selection,　support　vector　machine　(SVM)　was　employed　for　the　classification　between　TLE　patients　and　HCs.　The　granule　cell　layer　of　dentate　gyrus　in　the　body　of　left　hippocampus　(GC_ML_DG-body)　reached　highest　accuracy　of　79.　25%　.　The　molecular_layer_HP　in　the　head　of　right　hippocampus　(Molecular　_　layer　_　HP-head)　has　the　highest　classification　accuracy　of　79.　25%　.　The　majority　of　features　related　to　classification　results　were　second-order　features,　followed　by　first-order　features　and　shape　features.　The　radiomics　features　of　hippocampal　subregions　can　be　used　as　a　biomarker　to　identify　TLE.　The　second-order　features　are　the　most　important　features　for　the　classification　of　TLE.　©　2023　Beijing　University　of　Technology.　All　rights　reserved.