Brain Tumor Detection From Brain Mri Images With Deep Learning Methods;

Abstract

In this research, a deep learning model is proposed for brain tumor detection using brain MRI image collection. Three pre-trained convolutional neural networks are used as feature extractors. The obtained features are classified as brain tumors, normal, and tumorous using four different classifiers. Our proposed model has achieved a remarkable accuracy of 99.58% in its analysis, which is better than standard techniques. In addition, the proposed method has shown better performance than the convolutional neural network models used in the analysis. © 2024 IEEE.