Monai

Description

monai website  

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

• Bootcamp Playlist

• MONAI YouTube

• MONAI Stream

MONAI Deploy App SDK

• Spleen Segmentation Overview

• Spleen Segmentation Deepdive

• MedNIST Classification

MONAI Packages

If you would like to install MONAI on your own platforms, here are some useful links:

• MONAI Core

• MONAI Label

• MONAI Deploy App SDK

MONAI Core tutorials

• Tutorials