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Brain-Tumor-MRI-CNN
Ahmed-Tarek0/Brain-Tumor-MRI-CNN
Brain-Tumor-MRI-CNN is a machine learning model from Ahmed-Tarek0. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for keras.
This model classifies brain MRI images into four categories using a Convolutional Neural Network (CNN).
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At a glance
- Library
- keras
- Access
- Public
- Created
- Jul 9, 2026
- Updated
- Jul 10, 2026
- SHA
- 79231bfb
Model card
From the Hugging Face model README
Brain Tumor MRI Classification using CNN
Model Description
This model classifies brain MRI images into four categories using a Convolutional Neural Network (CNN).
Classes
- Glioma
- Meningioma
- No Tumor
- Pituitary
Framework
- TensorFlow
- Keras
Dataset
Brain Tumor MRI Dataset
Performance
| Metric | Score |
|---|---|
| Test Accuracy | 93% |
The model performs well on all four classes, with the highest performance on Pituitary and No Tumor images.
Input
- RGB MRI Image
- Image Size: 224 × 224
Output
One of the following classes:
- Glioma
- Meningioma
- No Tumor
- Pituitary
Author
Ahmed Tarek
- Library
- keras
- Created
- Jul 9, 2026
- Updated
- Jul 10, 2026