Nvidia Training Course : Medical AI Development with MONAI: Interactive Annotation Using NVIDIA NIM Microservices

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Durée : 0.5jour
Tarif : 750€ HT

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Objectifs

In this course you will learn:

About project MONAI

About SDKs of MONAI: MONAI core, MONAI label, MONAI deploy, Model Zoo

How you can to participate in MONAI open-source projects through different working groups or through open-source contributions

How to use MONAI Label for annotation workflows

How to build your own MONAI Label application

About VISTA-3D NIM and how to integrate it with medical workflows such as MONAI Label

How MONAI Label integrates with multiple open-source viewers (3D Slicer, OHIF, XNAT-OHIF, QuPath and imagJ with impartial and CVAT)

Prérequis

Basic Python understanding and basic ML understanding.

Public

IT professionals

Dernière mise à jour

Programme mis à jour le05 October 2026

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Assess your level

To help you choose the right training course, we offer either an interview with the instructor or an assessment test. This ensures you have the necessary knowledge to complete the training under optimal conditions.

Our services

We provide certain IT services for you: custom development, software redesign, application maintenance, ERP interfacing.

Practical exercises

Our training courses include numerous practical exercises for enhanced learning (60% hands-on). We also offer the opportunity to work with your own data for a more personalized experience.

Guaranteed sessions

The majority of our remote sessions are guaranteed. They can be recorded upon request.

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Les Modules
de formation

Module1

Course Outline

Introduction to project MONAI

Walk-through of multiple notebooks showing MONAI core: Basic training, Auto3dseg, performance acceleration MONAI label integration with 3d Slicer.

Creating your own app

MONAI label integration with OHIF viewer show casing pushing dicom data to Orthanc

MONAI label integration with XNAT through interactive annotation

MONAI label integration with XNAT for a deployment workflow

MONAI label integration with VISTA-3D NIM (Nvidia Inference Microservice)

MONAI label integration with QuPath for pathology annotation

MONAI label integration with impartial using imageJ for pathology annotation

MONAI label integration with CVAT for video annotation

Evaluation

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