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README.md
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---
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license: mit
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tags:
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- pytorch
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- image-classification
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- medical-imaging
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- brain-tumor
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- efficientnet
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---
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# Brain Tumor Classifier (EfficientNet-B3)
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PyTorch EfficientNet-B3 fine-tuned on the [Brain Tumor MRI Dataset](https://www.kaggle.com/datasets/masoudnickparvar/brain-tumor-mri-dataset) for 4-class classification: glioma, meningioma, notumor, pituitary.
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**Test accuracy: 95.00%** on 1,600 held-out MRI scans.
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Per-class F1: glioma 0.903 · meningioma 0.939 · notumor 0.966 · pituitary 0.989.
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Used by the [brain-tumor-classification Space](https://huggingface.co/spaces/momenalhamza/brain-tumor-classification).
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