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github_url:https://github.com/Project-MONAI/MONAI

Project MONAI

Medical Open Network for AI

MONAI is a PyTorch-based, open-source framework for deep learning in healthcare imaging, part of PyTorch Ecosystem.

Its ambitions are:

  • developing a community of academic, industrial and clinical researchers collaborating on a common foundation;
  • creating state-of-the-art, end-to-end training workflows for healthcare imaging;
  • providing researchers with the optimized and standardized way to create and evaluate deep learning models.

Features

The codebase is currently under active development

  • flexible pre-processing for multi-dimensional medical imaging data;
  • compositional & portable APIs for ease of integration in existing workflows;
  • domain-specific implementations for networks, losses, evaluation metrics and more;
  • customizable design for varying user expertise;
  • multi-GPU data parallelism support.

Getting started

Tutorials & examples are located at monai/examples.

Technical documentation is available via Read the Docs.

.. toctree::
   :maxdepth: 1
   :caption: Technical highlights

   highlights.md

.. toctree::
   :maxdepth: 1
   :caption: APIs

   transforms
   losses
   networks
   metrics
   data
   engines
   inferers
   handlers
   visualize
   utils


Contributing

For guidance on making a contribution to MONAI, see the contributing guidelines.

Links

Indices and tables