MONAI
A PyTorch-based open-source framework for deep learning in healthcare imaging, providing domain-specific tools and workflows.
What is MONAI?
MONAI is an open-source AI toolkit built on PyTorch specifically for healthcare imaging applications. It provides domain-specific tools, pre-processing capabilities, and standardized workflows to accelerate deep learning research and development in medical imaging. The framework addresses the unique challenges of working with multi-dimensional medical data like CT scans and MRIs.
Researchers, data scientists, and developers working on deep learning projects in medical imaging, including academic institutions, healthcare organizations, and AI companies focused on healthcare applications.
Developers choose MONAI because it offers specialized, optimized components for medical imaging that aren't available in generic deep learning frameworks, along with a collaborative community and standardized workflows that accelerate research while maintaining reproducibility.
Overview
AI Toolkit for Healthcare Imaging
Use Cases
Best For
- Developing deep learning models for medical image analysis (CT, MRI, X-ray)
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
