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brain-tumor-classifier – AI Model by momenalhamza | AlphaNeural AI
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brain-tumor-classifier
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pytorch
image-classification
medical-imaging
brain-tumor
efficientnet
mit
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Brain Tumor Classifier (EfficientNet-B3)
PyTorch EfficientNet-B3 fine-tuned on the
Brain Tumor MRI Dataset
for 4-class classification: glioma, meningioma, notumor, pituitary.
Test accuracy: 95.00%
on 1,600 held-out MRI scans.
Per-class F1: glioma 0.903 · meningioma 0.939 · notumor 0.966 · pituitary 0.989.
Used by the
brain-tumor-classification Space
.
