COVIDNET

Description

COVIDNET is a repository where you can find different deep learning models designed for COVID-19 detection in chest radiographs written in Python. The purpose of this project is to allow a machine to be able to detect the affected areas on the x-ray while predicting if it has the disease.

Table of Contents

• Install
• Built with
• Author
• License

Install

# Repository files
$ git clone https://github.com/TomasFdez5/COVIDNET.git

# Move to the project directory
$ cd COVIDNET/

# Install dependencies with pipenv (Recommended) or install manually.
$ pip install pipenv
$ pipenv install

# Activate the Pipenv shell to run the system
$ pipenv shell

Demo

Uninstall

# Grant permissions to run the uninstall script
$ chmod 777 uninstall.sh

$ ./uninstall.sh

Built with

• TensorFlow - Tools for machine learning.
• Keras - Tools for convolutional neural networks.

Authors

• Tomás Fernández Urbano - Lead developer.

  • LinkedIn
  • GitHub

• Sebastián Ventura Soto - Advisor.

• Antonio Rafael Moya Martín-Castaño - Advisor.

License

This project is licensed under the GNU GPL v3 License - see the LICENSE file for details.