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Brain Tumor Detection Using Convolutional Neural Networks
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• Table of Contents
• About The Project
• Built With
• Getting Started
  • Prerequisites
  • Installation
• Train Your Own Model
  • Procedure
• Product Screenshots
• Roadmap
• Contributing
• License
• Contact

Brain Tumor Detection Using Convolutional Neural Networks

• Keras
• Tensorflow
• scikit-learn
• Flask

To get a local copy up and running follow these simple example steps.

You will need:

• Python
• Tensorflow
• scikit-learn
• Flask

1. Make sure you have python3 setup on your system
2. Clone the repo

git clone https://github.com/ctrl-gaurav/Brain-Tumor-Detection.git

3. Install requirements

pip install -r requirements.txt

4. Run app.py

python app.py

If you want to train your own model

1. Make sure you have python3 setup on your system
2. Clone the repo

git clone https://github.com/ctrl-gaurav/Brain-Tumor-Detection.git

3. Install requirements

pip install -r requirements.txt

4. Run Train.py

python Train.py

5. Your Model is saved in models folder
6. Change Your model name in test.py and then test your model
7. Run Test.py

python Test.py

See the open issues for a list of proposed features (and known issues).

To add your contributions to this project follow these steps :

1. Fork the Project
2. Create your improvements Branch (git checkout -b improvements/myimprovements)
3. Commit your Changes (git commit -m 'Done some Improvements')
4. Push to the Branch (git push origin improvements/myimprovements)
5. Open a Pull Request

Distributed under the MIT License. See LICENSE for more information.

• Gaurav
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• Project Link: https://github.com/ctrl-gaurav/Brain-Tumor-Detection