Brain Tumor Detection

Brain Tumor Detection Using Convolutional Neural Networks
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Table of Contents

• Table of Contents
• About The Project
• Built With
• Getting Started
  • Prerequisites
  • Installation
• Train Your Own Model
  • Procedure
• Product Screenshots
• Roadmap
• Contributing
• License
• Contact

About The Project

Brain Tumor Detection Using Convolutional Neural Networks

Built With

• Keras
• Tensorflow
• scikit-learn
• Flask

Getting Started

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

Prerequisites

You will need:

• Python
• Tensorflow
• scikit-learn
• Flask

Installation

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

Train Your Own Model

If you want to train your own model

Procedure

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

Product Screenshots

Roadmap

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

Contributing

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

License

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

Contact

• Gaurav
  • Insta Handle - @ig_itsgk
  • LinkedIn - Gaurav
    
• Project Link: https://github.com/ctrl-gaurav/Brain-Tumor-Detection