# Auto3DSeg with model trained using MONAILabel

**URL:** <https://discourse.slicer.org/t/auto3dseg-with-model-trained-using-monailabel/39927>\
**Category:** Support\
**Tags:** segmentation, python\
**Created:** [October 29, 2024, 7:59pm UTC](https://discourse.slicer.org/t/auto3dseg-with-model-trained-using-monailabel/39927 "2024-10-29T19:59:15Z")\
**Posts on this page:** 1\
**Showing post:** 2

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**Author:** ![diazandr3s](https://sea2.discourse-cdn.com/flex002/user_avatar/discourse.slicer.org/diazandr3s/32/9973_2.png) [@diazandr3s](https://discourse.slicer.org/u/diazandr3s)\
**Post date:** [November 26, 2024, 3:02pm UTC](https://discourse.slicer.org/t/auto3dseg-with-model-trained-using-monailabel/39927/2 "2024-11-26T15:02:06Z")

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> [@h\_z1](#):
>
> using the radiology app of MONAILabel to do the inference

Hi @h_z1,

Thanks for asking this.

If you trained a model using the radiology app of MONAILabel, you could use the main script withing the radiology app/folder to run inference without starting the server: [MONAILabel/sample-apps/radiology/main.py at da0247ee54651014e841d6261f6d00908f4108cc · Project-MONAI/MONAILabel · GitHub](https://github.com/Project-MONAI/MONAILabel/blob/da0247ee54651014e841d6261f6d00908f4108cc/sample-apps/radiology/main.py#L286-L371)

The script _[auto3dseg\_segresnet\_inference.py](https://github.com/lassoan/SlicerMONAIAuto3DSeg/blob/main/MONAIAuto3DSeg/Scripts/auto3dseg_segresnet_inference.py)_ is mainly for Auto3DSeg models: [New extension: MONAI Auto3DSeg - raise the bar in AI medical image segmentation](https://discourse.slicer.org/t/new-extension-monai-auto3dseg-raise-the-bar-in-ai-medical-image-segmentation/35680)

Hope this helps,

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