The　use　of　artificial　intelligence　algorithm　to　determine　whether　the　lesion　has　cerebral　aneurysm,　especially　small　aneurysms,　is　still　not　completely　solved.　In　this　paper,　the　Faster　R-CNN　network　was　used　as　the　localization　network,　and　the　model　was　trained　by　adjusting　the　network　parameters,　and　the　appropriate　feature　extraction　network　and　classification　network　were　selected　to　finally　solve　the　localization　problem　of　small　aneurysms.　Compared　with　most　3D　methods,　this　method　had　the　characteristics　of　shorter　training　cycle　and　faster　image　recognition.　The　experimental　results　show　that　the　algorithm　has　a　high　accuracy　in　discriminating　whether　the　lesion　has　cerebral　aneurysm,　but　the　false　positive　phenomenon　may　occur　in　the　identification　of　single　image　localization.　Finally,　the　paper　discusses　the　experimental　results　and　puts　forward　some　conjecture　ideas　to　solve　the　problem.　©　2022　ACM.