Monai
MONAI is an open-source framework built on PyTorch, tailored specifically for healthcare imaging. It aims to accelerate the development and deployment of AI models in the medical field, encouraging collaboration among researchers, developers, and clinicians globally. MONAI streamlines the development and assessment of deep learning models by providing flexible preprocessing techniques for multi-dimensional medical images, compositional APIs, domain-specific implementations, and support for multi-GPU operations. It features tools like MONAI Label for efficient image annotation and MONAI Deploy for the medical AI application lifecycle in clinical settings. With over 700,000 downloads in 2022, MONAI has significantly impacted the medical imaging sector by fostering innovation and enhancing diagnostic accuracy.
Features
- Open-source framework built on PyTorch
- promoting community-driven collaboration
- End-to-end support for the entire medical AI model development workflow
- Domain-specific features for healthcare imaging
- including state-of-the-art 3D segmentation algorithms
- Emphasizes standardized and reproducible AI development practices
- User-friendly interfaces with intuitive API designs for researchers and developers
- Offers flexible pre-processing capabilities for diverse medical imaging data types
Use Cases
- Radiologists
- Oncologists
- Cardiologists
- Neurologists
- Medical Researchers
- AI Developers
- Clinicians
- Pathologists
