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

MONAI core

         NGC container usage:
            ml purge
            ml ngc-monai/<version>
            python <your__python_script>

MONAI label

         NGC container usage:

           1) Server:

                To start the server as a slurm job:
                   ml purge
                   ml ngc-monailabel/<version>
                   sbatch start_monai_server_readonly.sh

                Note server address from job output: used in next step

           2) 3DSlicer client

               - Start Open On Demand (OOD) session
               - Start Console in hwgui with 1 GPU: gpu:geforce:1
               - In console: load & start Slicer
                    ml slicer/4.13.0
                    Slicer
               - In Slicer GUI:
                    Select module: Active Learning -> MONAILabel
                    Fill in server address, e.g.: http://c1007a-s17:8000/
                    Click on refresh button next to server address
                    Load Next Sample
               You are good to go! Enjoy!

Learning Materials

MONAI on HiPerGator Tutorial Recordings and Slides

• MONAI Label for Medical Imaging and

File:MONAILabel UF tutorial Feb 2022.pdf slides, by Dr. Huiwen Ju, Feb. 22, 2022

• MONAI Core and slides, by Dr. Huiwen Ju, March 1, 2022

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