MONAI Training

Objectives

1. Discover machine learning in the medical field
2. Discover the tools to develop, visualize and integrate machine learning models in 3D data (MRI, CT)
3. Practice semantic segmentation and classification with the MONAI framework

Prerequisites

• Python: basic knowledge
• Machine learning: basic knowledge would be a plus
• Image processing: basic knowledge would be a plus

Program

• Machine learning in the medical field
  • Medical Machine Learning applications
  • Medical AI Adoption challenges
  • State of the art
• Gettings started with MONAI
  • Introduction to MONAI
  • Feature overview
  • Setting up your environment
• MONAI Transforms
  • Introduction to the concept of Transforms
  • Preprocessing Transforms
  • Post processing Transforms
• MONAI Datasets, Caching and Networks
• End-To-End Workflow with MONAI
  • Semantic segmentation
  • Classification
• MONAI Label
  • Features
  • Gettings started
  • Customizing MONAI Label
• MONAI model deployment and integration
  • Development lifecycle
  • Deployment Options
  • MONAI Deploy
  • Federated Learning

This training course will be taught in English. Course notes are also in English.
Participants are asked to bring a laptop computer for this training session.
The instructor will communicate all the specifications required to each participants before the training session.

Kitware SAS is registered as a training center in France