# Accelerating Deep Learning Research in Medical Imaging Using MONAI

**URL:** <https://forums.developer.nvidia.com/t/accelerating-deep-learning-research-in-medical-imaging-using-monai/148823>\
**Category:** Technical Blog\
**Created:** [August 25, 2020, 11:53pm UTC](https://forums.developer.nvidia.com/t/accelerating-deep-learning-research-in-medical-imaging-using-monai/148823 "2020-08-25T23:53:12Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![jwitsoe](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/jwitsoe/32/16591_2.png) [@jwitsoe](https://forums.developer.nvidia.com/u/jwitsoe)\
**Post date:** [August 25, 2020, 11:53pm UTC](https://forums.developer.nvidia.com/t/accelerating-deep-learning-research-in-medical-imaging-using-monai/148823/1 "2020-08-25T23:53:12Z")

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Originally published at: [Accelerating Deep Learning Research in Medical Imaging Using MONAI | NVIDIA Technical Blog](https://developer.nvidia.com/blog/accelerating-deep-learning-research-in-medical-imaging-using-monai/)  
   
The Medical Open Network for AI (MONAI), is a freely available, community-supported, PyTorch-based framework for deep learning in healthcare imaging. It provides domain-optimized, foundational capabilities for developing a training workflow. Building upon the GTC 2020 alpha release announcement back in April, MONAI has now released version 0.2 with new capabilities, examples, and research implementations for…