Deep learning for brain tumor MRI: detection (99.4%) and 4-class typing (94.75%) via EfficientNet transfer learning + Grad-CAM.
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Updated
Aug 16, 2026 - Jupyter Notebook
Deep learning for brain tumor MRI: detection (99.4%) and 4-class typing (94.75%) via EfficientNet transfer learning + Grad-CAM.
A deep learning–based project for classifying brain MRI images into multiple categories using transfer learning. The model leverages pretrained CNN architectures to automatically learn image features, eliminating the need for manual feature extraction. The pipeline includes data preprocessing, augmentation, training, validation , testing
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