Deep learning model for classifying brain tumors

Brain tumors can damage the patient’s nervous system, serious will lead to a variety of concurrent symptoms, and even life-threatening. Therefore, this paper uses artificial intelligence to recognize MRI images of brain tumors. Firstly, MobileNetV2 was used as the basic model, and CBAM attention mechanism was introduced to enhance the extraction of brain tumor image features. Secondly, SVM is used to replace the classification layer in MobileNetV2 to enhance the classification performance of the model. Finally, the recognition effect of different kernels is explored. The experimental results show that the proposed model has a good recognition effect on the classification of brain tumors.