{"id":46230670,"url":"https://github.com/paulkokos/medscan-platform","last_synced_at":"2026-03-03T17:37:45.733Z","repository":{"id":318973321,"uuid":"1074470993","full_name":"paulkokos/medscan-platform","owner":"paulkokos","description":"AI-Powered Medical Image Segmentation Platform - Full-stack React + Django application with TensorFlow ML 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Platform\n\n\u003cbr\u003e\n\n[![Frontend CI](https://github.com/paulkokos/medscan-platform/workflows/Frontend%20CI/badge.svg?branch=master)](https://github.com/paulkokos/medscan-platform/actions)\n[![Backend CI](https://github.com/paulkokos/medscan-platform/workflows/Backend%20CI/badge.svg?branch=master)](https://github.com/paulkokos/medscan-platform/actions)\n[![codecov](https://codecov.io/gh/paulkokos/medscan-platform/branch/master/graph/badge.svg)](https://github.com/paulkokos/medscan-platform/actions)\n\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg)](http://makeapullrequest.com)\n[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)\n\n[![Discussions](https://img.shields.io/github/discussions/paulkokos/medscan-platform)](https://github.com/paulkokos/medscan-platform/discussions)\n[![Project Board](https://img.shields.io/badge/project-board-blue)](https://github.com/users/paulkokos/projects)\n[![Issues](https://img.shields.io/github/issues/paulkokos/medscan-platform)](https://github.com/paulkokos/medscan-platform/issues)\n\n\u003cbr\u003e\n\u003cbr\u003e\n\n---\n\n## Overview\n\nMedScan Platform is a full-stack web application designed for medical image analysis and segmentation using deep learning. The platform enables healthcare professionals and researchers to upload medical images (CT scans, MRI, X-rays) and receive automated segmentation results powered by TensorFlow/Keras neural networks.\n\n\u003cbr\u003e\n\n### Key Features\n\n\u003cbr\u003e\n\n| Feature | Description |\n|---------|-------------|\n| **AI-Powered Analysis** | Advanced deep learning models for medical image segmentation |\n| **User Authentication** | Secure JWT-based authentication system |\n| **Image Management** | Upload, view, and manage medical images |\n| **Real-time Processing** | Asynchronous image analysis with progress tracking |\n| **Interactive Dashboard** | Visualize segmentation results with Chart.js |\n| **RESTful API** | Well-documented API for integration |\n| **Responsive Design** | Mobile-friendly interface with Tailwind CSS |\n| **Docker Support** | Containerized deployment for easy setup |\n| **CI/CD Pipeline** | Automated testing and deployment with GitHub Actions |\n\n\u003cbr\u003e\n\u003cbr\u003e\n\n---\n\n## Tech Stack\n\n\u003cbr\u003e\n\n### Frontend\n\n![React](https://img.shields.io/badge/react-%2320232a.svg?style=for-the-badge\u0026logo=react\u0026logoColor=%2361DAFB)\n![Redux](https://img.shields.io/badge/redux-%23593d88.svg?style=for-the-badge\u0026logo=redux\u0026logoColor=white)\n![React Router](https://img.shields.io/badge/React_Router-CA4245?style=for-the-badge\u0026logo=react-router\u0026logoColor=white)\n![TailwindCSS](https://img.shields.io/badge/tailwindcss-%2338B2AC.svg?style=for-the-badge\u0026logo=tailwind-css\u0026logoColor=white)\n![Chart.js](https://img.shields.io/badge/chart.js-F5788D.svg?style=for-the-badge\u0026logo=chart.js\u0026logoColor=white)\n\n- React 18 with Hooks\n- Redux Toolkit for state management\n- React Router v6 for client-side routing\n- Tailwind CSS for styling\n- Axios for HTTP requests\n- Chart.js for data visualization\n\n\u003cbr\u003e\n\n### Backend\n\n![Django](https://img.shields.io/badge/django-%23092E20.svg?style=for-the-badge\u0026logo=django\u0026logoColor=white)\n![DjangoREST](https://img.shields.io/badge/DJANGO-REST-ff1709?style=for-the-badge\u0026logo=django\u0026logoColor=white\u0026color=ff1709\u0026labelColor=gray)\n![Postgres](https://img.shields.io/badge/postgres-%23316192.svg?style=for-the-badge\u0026logo=postgresql\u0026logoColor=white)\n![TensorFlow](https://img.shields.io/badge/TensorFlow-%23FF6F00.svg?style=for-the-badge\u0026logo=TensorFlow\u0026logoColor=white)\n\n- Django 5.0 - High-level Python web framework\n- Django REST Framework - API toolkit\n- PostgreSQL - Relational database\n- TensorFlow/Keras - Deep learning framework\n- JWT Authentication - Secure token-based auth\n- Pillow - Image processing\n\n\u003cbr\u003e\n\n### DevOps\n\n![Docker](https://img.shields.io/badge/docker-%230db7ed.svg?style=for-the-badge\u0026logo=docker\u0026logoColor=white)\n![GitHub Actions](https://img.shields.io/badge/github%20actions-%232671E5.svg?style=for-the-badge\u0026logo=githubactions\u0026logoColor=white)\n![Nginx](https://img.shields.io/badge/nginx-%23009639.svg?style=for-the-badge\u0026logo=nginx\u0026logoColor=white)\n\n- Docker \u0026 Docker Compose - Containerization\n- GitHub Actions - CI/CD pipelines\n- Nginx - Reverse proxy and static file serving\n\n\u003cbr\u003e\n\u003cbr\u003e\n\n---\n\n## Quick Start\n\n\u003cbr\u003e\n\n### Prerequisites\n\n```\nNode.js 18+\nPython 3.11+\nPostgreSQL 16+\nDocker \u0026 Docker Compose (optional)\n```\n\n\u003cbr\u003e\n\n### Installation\n\n\u003cbr\u003e\n\n#### Option 1: Docker (Recommended)\n\n**1. Clone the repository**\n```bash\ngit clone https://github.com/paulkokos/medscan-platform.git\ncd medscan-platform\n```\n\n**2. Create environment file**\n```bash\ncp backend/.env.example backend/.env\n# Edit backend/.env with your configuration\n```\n\n**3. Start services**\n```bash\ndocker-compose up -d\n```\n\n**4. Access the application**\n\n- Frontend: http://localhost:3000\n- Backend API: http://localhost:8000\n- Admin Panel: http://localhost:8000/admin\n\n\u003cbr\u003e\n\u003cbr\u003e\n\n#### Option 2: Manual Setup\n\n**Backend Setup:**\n\n```bash\ncd backend\n\n# Create virtual environment\npython -m venv venv\nsource venv/bin/activate  # On Windows: venv\\Scripts\\activate\n\n# Install dependencies\npip install -r requirements.txt\n\n# Setup database\ncreatedb medscan\ncp .env.example .env\n# Edit .env with your database credentials\n\n# Run migrations\npython manage.py migrate\n\n# Create superuser\npython manage.py createsuperuser\n\n# Run development server\npython manage.py runserver\n```\n\n\u003cbr\u003e\n\n**Frontend Setup:**\n\n```bash\ncd frontend\n\n# Install dependencies\nnpm install\n\n# Start development server\nnpm start\n```\n\n\u003cbr\u003e\n\n**Access the application:**\n- Frontend: http://localhost:3000\n- Backend: http://localhost:8000\n\n\u003cbr\u003e\n\u003cbr\u003e\n\n---\n\n## Project Structure\n\n```\nmedscan-platform/\n├── .github/\n│   ├── workflows/           # CI/CD workflows\n│   └── ISSUE_TEMPLATE/      # Issue templates\n├── frontend/                # React application\n│   ├── public/\n│   └── src/\n│       ├── components/      # React components\n│       ├── pages/           # Page components\n│       ├── redux/           # State management\n│       └── services/        # API services\n├── backend/                 # Django application\n│   ├── apps/\n│   │   ├── authentication/  # User authentication\n│   │   ├── images/          # Image management\n│   │   └── analysis/        # ML analysis\n│   └── medscan/             # Project settings\n└── docker-compose.yml       # Docker orchestration\n```\n\n\u003cbr\u003e\n\u003cbr\u003e\n\n---\n\n## API Documentation\n\n\u003cbr\u003e\n\n### Authentication Endpoints\n\n| Method | Endpoint | Description |\n|--------|----------|-------------|\n| POST | `/api/auth/register/` | Register new user |\n| POST | `/api/auth/login/` | Login and get JWT token |\n| GET | `/api/auth/user/` | Get current user profile |\n\n\u003cbr\u003e\n\n### Images Endpoints\n\n| Method | Endpoint | Description |\n|--------|----------|-------------|\n| GET | `/api/images/` | List all images |\n| POST | `/api/images/` | Upload new image |\n| GET | `/api/images/{id}/` | Get image details |\n| DELETE | `/api/images/{id}/` | Delete image |\n\n\u003cbr\u003e\n\n### Analysis Endpoints\n\n| Method | Endpoint | Description |\n|--------|----------|-------------|\n| POST | `/api/analysis/` | Start analysis |\n| GET | `/api/analysis/{id}/` | Get analysis results |\n\n\u003cbr\u003e\n\nFor detailed API documentation, visit `/api/docs/` when running the server.\n\n\u003cbr\u003e\n\u003cbr\u003e\n\n---\n\n## Development\n\n\u003cbr\u003e\n\n### Running Tests\n\n**Frontend:**\n```bash\ncd frontend\nnpm test              # Run tests\nnpm run test:coverage # Run with coverage\nnpm run lint          # Run ESLint\nnpm run format        # Format with Prettier\n```\n\n\u003cbr\u003e\n\n**Backend:**\n```bash\ncd backend\npytest                  # Run tests\npytest --cov            # Run with coverage\nblack .                 # Format code\npylint **/*.py          # Lint code\n```\n\n\u003cbr\u003e\n\n### Code Style\n\n- **Frontend**: ESLint + Prettier (Airbnb style guide)\n- **Backend**: Black + isort + Pylint (PEP 8)\n\n\u003cbr\u003e\n\n### Git Workflow\n\nWe follow the [GitHub Flow](https://guides.github.com/introduction/flow/):\n\n1. Create a feature branch from `main`\n2. Make changes and commit\n3. Push and create a pull request\n4. Code review and CI checks\n5. Merge to `main`\n\nSee [CONTRIBUTING.md](CONTRIBUTING.md) for detailed guidelines.\n\n\u003cbr\u003e\n\u003cbr\u003e\n\n---\n\n## Deployment\n\n\u003cbr\u003e\n\n### Production Deployment\n\n1. Update environment variables for production\n2. Build Docker images\n3. Deploy using docker-compose or orchestration tool\n\n```bash\ndocker-compose -f docker-compose.prod.yml up -d\n```\n\n\u003cbr\u003e\n\n### Environment Variables\n\nSee `backend/.env.example` for required environment variables.\n\n\u003cbr\u003e\n\u003cbr\u003e\n\n---\n\n## Security\n\nFor security vulnerabilities, please see [SECURITY.md](SECURITY.md).\n\n**Security Features:**\n- Secret Scanning with Push Protection\n- Dependabot Security Updates\n- Branch Protection Rules\n- CodeQL Analysis (JavaScript + Python)\n- SAST Scanning with Semgrep\n\n\u003cbr\u003e\n\u003cbr\u003e\n\n---\n\n## Contributing\n\n### [Join the Discussion](https://github.com/paulkokos/medscan-platform/discussions)\n- Ask questions and get help from the community\n- Share ideas for new features and improvements\n- Showcase your implementations and use cases\n- Discuss medical imaging research and techniques\n- Collaborate on development and best practices\n\n### [Project Board](https://github.com/users/paulkokos/projects)\n- View current development priorities and roadmap\n- See what features are planned and in progress\n- Contribute to ongoing tasks and initiatives\n- Track bug fixes and feature requests\n\n### How to Contribute\n\nWe welcome contributions! Please see [CONTRIBUTING.md](CONTRIBUTING.md) for details.\n\n**Quick Steps:**\n\n1. Fork the repository\n2. Create your feature branch (`git checkout -b feature/AmazingFeature`)\n3. Commit your changes (`git commit -m 'Add some AmazingFeature'`)\n4. Push to the branch (`git push origin feature/AmazingFeature`)\n5. Open a Pull Request\n\n\u003cbr\u003e\n\u003cbr\u003e\n\n---\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n\u003cbr\u003e\n\n---\n\n## Authors\n\n**Paul Kokos** - [paulkokos](https://github.com/paulkokos)\n\n\u003cbr\u003e\n\n---\n\n## Acknowledgments\n\n- TensorFlow team for the deep learning framework\n- Django REST Framework for the excellent API toolkit\n- React team for the amazing UI library\n- All contributors who help improve this project\n\n\u003cbr\u003e\n\u003cbr\u003e\n\n---\n\n## Project Status\n\n**Current Version:** 0.1.0 (Alpha)\n\nThis project is under active development. Features and API may change.\n\n\u003cbr\u003e\n\n### Roadmap\n\n- [ ] Implement U-Net architecture for segmentation\n- [ ] Add support for DICOM file format\n- [ ] Real-time collaboration features\n- [ ] Export results to PDF reports\n- [ ] Integration with PACS systems\n- [ ] Multi-language support\n- [ ] Mobile application\n\n\u003cbr\u003e\n\u003cbr\u003e\n\n---\n\n## Contact\n\n**Project Link:** [https://github.com/paulkokos/medscan-platform](https://github.com/paulkokos/medscan-platform)\n\n\u003cbr\u003e\n\n---\n\n\u003cdiv align=\"center\"\u003e\n\nMade with care for the medical imaging community\n\n\u003c/div\u003e\n\n\n\n\n\n\n\n\n\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpaulkokos%2Fmedscan-platform","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpaulkokos%2Fmedscan-platform","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpaulkokos%2Fmedscan-platform/lists"}