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https://github.com/priyanshudutta04/brain-tumor-detection
Brain Tumor Detection using CNN
https://github.com/priyanshudutta04/brain-tumor-detection
brain-tumor cnn-classification deep-learning keras-tensorflow
Last synced: 30 days ago
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Brain Tumor Detection using CNN
- Host: GitHub
- URL: https://github.com/priyanshudutta04/brain-tumor-detection
- Owner: priyanshudutta04
- License: mit
- Created: 2024-07-17T11:43:56.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2024-07-18T12:29:36.000Z (5 months ago)
- Last Synced: 2024-07-18T16:54:16.511Z (5 months ago)
- Topics: brain-tumor, cnn-classification, deep-learning, keras-tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 33 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Brain Tumor Detection
Brain Tumor Detection using CNN
## About
Globally, over 700,000 people are diagnosed with a brain tumor each year. Early detection is crucial as it significantly improves treatment outcomes and survival rates. Timely intervention helps in managing symptoms and reducing the tumor's impact on the brain.
This brain-tumor-classification model, powered by a convolutional neural network (CNN), tries to accurately differentiate between tumor and non-tumor images using brain MRI images. By analyzing these medical images with high precision, it aids in early detection and timely medical intervention, enhancing patient outcomes.
## Data
The datataset used is the kaggle's `Brain MRI` dataset, which consists of mri images of brain with and without tumor.
Dataset Source Link: [kaggle dataset](https://www.kaggle.com/datasets/navoneel/brain-mri-images-for-brain-tumor-detection)
## Usage
1. Clone the repository
```
git clone https://github.com/priyanshudutta04/Brain-Tumor-Detection.git
```
2. Install dependencies
```
pip install -r requirements.txt
```
3. Run the Model
```
jupyter notebook Model_Training.ipynb
```
*Note: If GPU is available install `cuda toolkit` and `cuDNN` for faster execution*
## Contributing
Contributions are welcome! If you have ideas for improving the model or adding new features, please feel free to fork the repository and submit a pull request.
## Disclaimer
This brain-tumor-classification model is intended for educational and demonstration purposes only. Always seek the advice of a qualified healthcare professional before making any medical decisions or starting any treatment. This model should not be used as a basis for medical diagnosis or treatment and the creator of this model are not responsible for any decisions made based on its output.
## Support
If you like this project, do give it a ⭐and share it with your friends