Abstract: Clinical professionals still find detecting a brain tumor to be a very difficult and time-consuming process, despite substantial advances in medical technology. Early and correct diagnosis of brain tumors may help with their successful and efficient treatment. Higher levels of predictability might improve the efficiency and precision of the automatic identification and therapy of brain tumors. Although it is generally acknowledged that the accuracy performance using automatic identification and tracking systems varies from methodology to technology and frequently depends on the computer vision applications, this is not always the case. This paper examines the advantages and disadvantages of contemporary detection methods.