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neurosight-brain-tumor-models
kierenschmidthsg/neurosight-brain-tumor-models
neurosight-brain-tumor-models is a machine learning model from kierenschmidthsg. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc0-1.0.
Pre-trained TensorFlow/Keras models for classifying brain MRI scans into four categories: - Glioma - Meningioma - Pituitary tumor - No tumor
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Public
Updated Dec 11, 2025
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72 MB
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At a glance
- License
- cc0-1.0
- Access
- Public
- Created
- Dec 11, 2025
- Updated
- Dec 11, 2025
- SHA
- 45682e67
Model card
From the Hugging Face model README
NeuroSight Brain Tumor Classification Models
Pre-trained TensorFlow/Keras models for classifying brain MRI scans into four categories:
- Glioma
- Meningioma
- Pituitary tumor
- No tumor
Model Details
- Architecture: Custom CNN with 4 convolutional layers
- Framework: TensorFlow/Keras
- Input: 192×192 grayscale MRI images
- Test Accuracy: ~91%
- Test Recall: ~90%
Usage
Download and extract the models:
wget https://huggingface.co/kierenschmidthsg/neurosight-brain-tumor-models/resolve/main/neurosight-models.tar.gz
tar -xzf neurosight-models.tar.gz
This creates two directories:
brain_tumor_cnn_improved/- Main classification modelbrain_tumor_cnn_keras/- Model for Grad-CAM visualizations
Training Dataset
Trained on the Brain Tumor MRI Dataset from Kaggle.
Repository
Full project code: GitHub Repository
License
CC0 1.0 Universal (same as training dataset)
Disclaimer
This is an educational project and should not be used for medical diagnosis.
- License
- cc0-1.0
- Created
- Dec 11, 2025
- Updated
- Dec 11, 2025