# Medical Imaging Segmentation with NVIDIA MONAI

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### Overview

This example demonstrates how to:

* Preprocess medical imaging data
* Train a MONAI U-Net model
* Evaluate segmentation performance
* Run inference on new images

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### Steps

{% stepper %}
{% step %}
**Preprocess Data**

Load and normalize medical imaging data.
{% endstep %}

{% step %}
**Train Model**

Initialize and train a MONAI U-Net model using your dataset.
{% endstep %}

{% step %}
**Evaluate Performance**

Assess the model's segmentation accuracy with test data.
{% endstep %}

{% step %}
**Run Inference**

Use the trained model to predict and segment new images.
{% endstep %}
{% endstepper %}

***

### GitHub repository

The repository walks you through how to go through the above steps:

{% embed url="<https://github.com/valohai/NVIDIA-MONAI-Valohai>" %}


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