Brain　tumors　are　one　of　the　major　diseases　that　threaten　human　life　and　health.　Accurate　diagnosis　is　the　key　to　improving　the　therapeutic　effect　and　saving　the　patient＇s　life.　Computer　technology　can　effectively　help　doctors　improve　diagnostic　accuracy.　Among　them,　brain　tumor　recognition　technology　is　a　research　hotspot.　An　integrated　brain　tumor　recognition　approach　is　proposed　to　distinguish　between　the　benign　and　malignant　brain　tumors.　This　method　combines　the　optimized　CNN　model　with　SVM　to　fully　utilize　the　strengths　of　them.　Experimental　results　justify　the　effectiveness　of　the　proposed　model.