Summary and Experiment on the Exploration of Brain Tumor Image Classification Recognition: Initial Experience of Artificial Intelligence Technology

Abstract

In this paper, we aim to focus on accurate brain tumor classification. We utilize two popular models, including AlexNet and VGG to realize the recognition of brain tumor dataset. We firstly pre-process and apply data enhancement for the given dataset and then, use those two model for classification. In conclusion, we found that the VGGNet is superior to AlexNet with a large margin and achieves a reasonable performance with 78.2%. Our paper provides a brief attempt for medical image classification.