Advanced Tutorial MONAI AI

MONAI

Introduction

MONAI (Medical Open Network for AI) is an open-source framework built on PyTorch, designed for developing and deploying AI models in medical imaging.

Created by NVIDIA and the Linux Foundation, it provides specialized tools for handling medical data formats like DICOM and NIfTI, along with advanced preprocessing, augmentation, and 3D image analysis capabilities.

MONAI includes ready-to-use deep learning models (such as UNet and SegResNet) and utilities for segmentation, classification, and image registration. It supports distributed GPU training and ensures reproducible research workflows.

Available Tutorials

• Example 1: Install MONAI using PythonPip module
• Example 2: Applying a spleen segmentation model from MONAI in MeVisLab