  Brain tumors are among the deadliest diseases in the world. Magnetic
Resonance Imaging (MRI) is one of the most effective ways to detect brain
tumors. Accurate detection of brain tumors based on MRI scans is critical, as
it can potentially save many lives and facilitate better decision-making at the
early stages of the disease. Within our paper, four different types of
MRI-based images have been collected from the database: glioma tumor, no tumor,
pituitary tumor, and meningioma tumor. Our study focuses on making predictions
for brain tumor classification. Five models, including four pre-trained models
(MobileNet, EfficientNet-B0, ResNet-18, and VGG16) and one new model,
MobileNet-BT, have been proposed for this study.
