Difference between revisions of "Monai"
| (3 intermediate revisions by the same user not shown) | |||
| Line 32: | Line 32: | ||
* HPC_{{uc:{{#var:app}}}}LABEL_DIR - MONAI label installation directory | * HPC_{{uc:{{#var:app}}}}LABEL_DIR - MONAI label installation directory | ||
| − | == | + | ==More Information== |
| − | + | '''For quick guides on usage for MONAI Core/MONAI Label, visit [[Monai Usage]].''' | |
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
=== MONAI on HiPerGator Tutorial Recordings and Slides === | === MONAI on HiPerGator Tutorial Recordings and Slides === | ||
* Recording: [https://ufl.zoom.us/rec/play/2O1PqqMU7DJ2mexyn_Jfki3IGGcu3KjLV8iZ2dcT2Wztxx27dIO8g7W_nlWfEnKmoXASRFNBm7ihGWZU.n-AJRZLetesP4X9v?startTime=1658851332000 MONAI Label for Medical Imaging] and slides: [https://github.com/hw-ju/monai_uf_tutorials/blob/main/slides/MONAICore_tutorial_UF_July_2022.pdf MONAICore_tutorial_UF_July_2022.pdf] | * Recording: [https://ufl.zoom.us/rec/play/2O1PqqMU7DJ2mexyn_Jfki3IGGcu3KjLV8iZ2dcT2Wztxx27dIO8g7W_nlWfEnKmoXASRFNBm7ihGWZU.n-AJRZLetesP4X9v?startTime=1658851332000 MONAI Label for Medical Imaging] and slides: [https://github.com/hw-ju/monai_uf_tutorials/blob/main/slides/MONAICore_tutorial_UF_July_2022.pdf MONAICore_tutorial_UF_July_2022.pdf] | ||
Latest revision as of 17:46, 5 May 2023
Description
The MONAI framework is the open-source foundation being created by Project MONAI. MONAI is a freely available, community-supported, PyTorch-based framework for deep learning in healthcare imaging. It provides domain-optimized foundational capabilities for developing healthcare imaging training workflows in a native PyTorch paradigm.
Project MONAI also includes MONAI Label, an intelligent open source image labeling and learning tool that helps researchers and clinicians collaborate, create annotated datasets, and build AI models in a standardized MONAI paradigm.
Environment Modules
Run module spider monai to find out what environment modules are available for this application.
System Variables
- HPC_MONAI_DIR - installation directory
- HPC_MONAI_BIN - executable directory
- HPC_MONAI_LIB - library directory
- HPC_MONAILABEL_DIR - MONAI label installation directory
More Information
For quick guides on usage for MONAI Core/MONAI Label, visit Monai Usage.
MONAI on HiPerGator Tutorial Recordings and Slides
- Recording: MONAI Label for Medical Imaging and slides: MONAICore_tutorial_UF_July_2022.pdf
- Recording: MONAI Core
- GitHub repository with code examples: https://github.com/hw-ju/monai_uf_tutorials
MONAI 3-day Bootcamp Recordings and Learning Materials
MONAI Deploy App SDK
MONAI Packages
If you would like to install MONAI on your own platforms, here are some useful links:
MONAI Core tutorials