Early Detection Saves Lives
This innovative application leverages advanced AI technology to analyze mammogram images with high precision, providing early detection and peace of mind from the comfort of your home. Stay proactive about your health with reliable and quick examinations.
- AI-powered mammogram analysis
- Early detection of breast cancer
- User-friendly interface
- Detailed scan results and heatmaps
- Appointment management
- Dashboard for doctors and radiographers
- Frontend: React
- Backend: Node.js, Django
- Database: MongoDB, SQLite
- Containerization: Docker
- Web Server: NGINX
- Docker
- Node.js
- Python
-
Clone the repository:
git clone https://github.com/yourusername/yourrepository.git cd yourrepository
-
Set up the frontend:
cd frontend npm install npm start
-
Set up the backend:
Node.js:
cd backend/node npm install npm start
Django:
cd backend/django pip install -r requirements.txt python manage.py migrate python manage.py runserver
-
Run with Docker:
docker-compose up --build
-
Access the application:
- Visit
http://localhost:3000
for the frontend. - Backend APIs will be available at
http://localhost:8000
.
- Visit
-
Upload Mammograms:
- Navigate to the dashboard and use the upload feature to analyze mammogram images.
-
View Results:
- Check the scan results, detailed analysis, and heatmaps in the patient section.
We welcome contributions to improve our project. To contribute, follow these steps:
- Fork the repository
- Create a new branch (
git checkout -b feature-branch
) - Commit your changes (
git commit -m 'Add some feature'
) - Push to the branch (
git push origin feature-branch
) - Open a Pull Request
This project is licensed under the MIT License - see the LICENSE file for details.
If you have any questions or feedback, feel free to reach out:
- Email: support@earlysacan.com
- GitHub Issues: Create an issue
Thank you for using EarlyScan! Your health and peace of mind are our top priorities.