Transfer Learning Based Multiclass Brain Tumor Classification Using Mri Data

Deep learning for classifying brain tumors has transformed medical image analysis, significantly improving upon manual detection techniques. Brain tumors are defined by aberrant cellular proliferation in the brain or central spinal canal, presenting significant health hazards, including malignant brain cancer. Early detection through Magnetic Resonance Imaging (MRI) is crucial but traditionally labor-intensive and prone to error. This study was conducted to refine the classification of brain tumor images, we introduce new layers to the ResNet50 architecture. Utilizing a comprehensive dataset from SARTAJ, Br35H, and Fig share, we employ data augmentation and preprocessing techniques to improve model training. Our approach of execution is assessed against a number of different deep neural network models, including VGG16, VGG19, EfficientNet-B0, Inception, and DenseNet121, among…