Project-MONAI/tutorials
A collection of Jupyter Notebook tutorials for MONAI, a PyTorch-based deep learning framework for medical imaging.
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This repository hosts official tutorials for Project MONAI (Medical Open Network for AI), a framework built on PyTorch for deep learning in healthcare imaging. The tutorials cover workflows, model training, and deployment for tasks such as image segmentation, classification, and reconstruction in medical contexts. They are provided as Jupyter Notebooks that users can run locally or via Google Colab.
Frequently asked
- What is Project-MONAI/tutorials?
- A collection of Jupyter Notebook tutorials for MONAI, a PyTorch-based deep learning framework for medical imaging.
- Is tutorials open source?
- Yes — Project-MONAI/tutorials is open source, released under the Apache-2.0 license.
- What language is tutorials written in?
- Project-MONAI/tutorials is primarily written in Jupyter Notebook.
- How popular is tutorials?
- Project-MONAI/tutorials has 2.5k stars on GitHub.
- Where can I find tutorials?
- Project-MONAI/tutorials is on GitHub at https://github.com/Project-MONAI/tutorials.