> For the complete documentation index, see [llms.txt](https://medomicslab.gitbook.io/medomics-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://medomicslab.gitbook.io/medomics-docs/v1-fr/tutorials/design/extraction-modules/medimage.md).

# MEDimage

{% hint style="warning" %}
MEDimage est actuellement désactivé car il n'a pas passé tous les contrôles de stabilité.
{% endhint %}

MEDimage est un logiciel tout-en-un, basé sur deux composants intégrés, un [interface sans code](https://github.com/MEDomics-UdeS/medimage-app/) et un [package basé sur du code](https://github.com/MEDomics-UdeS/MEDimage), qui facilite le traitement d'images médicales, l'extraction de caractéristiques radiomiques et l'entraînement de modèles. Il fait partie de MEDomicsLab, mais il est également disponible en version autonome sur [medimage.app](https://medimage.app/). Là, vous trouverez toutes les ressources nécessaires pour commencer à utiliser le module. Profitez de :heart:!

<figure><img src="/files/44677bb36137e78571ec16e56ac76fc0b617eeb7" alt=""><figcaption><p>Architecture de MEDimage</p></figcaption></figure>

{% hint style="warning" %}
Veuillez noter que la version autonome est la plus à jour, et nous recommandons fortement de l'utiliser.
{% endhint %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://medomicslab.gitbook.io/medomics-docs/v1-fr/tutorials/design/extraction-modules/medimage.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
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Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.