Automated Brain Tumor Detection Using Hybrid Machine Learning Models
A hybrid machine learning model for brain tumor detection is proposed in which a pretrained MobileNetV2 convolutional neural network (CNN) extracts deep features from MRI images and a linear support vector machine (SVM) classifies them into four classes: glioma, meningioma, pituitary tumor, and no tumor.