# Is it possible to use slicerRT delineate the target and OAR?

**URL:** <https://discourse.slicer.org/t/is-it-possible-to-use-slicerrt-delineate-the-target-and-oar/38116>\
**Category:** Support\
**Tags:** segmentation\
**Created:** [August 29, 2024, 1:09pm UTC](https://discourse.slicer.org/t/is-it-possible-to-use-slicerrt-delineate-the-target-and-oar/38116 "2024-08-29T13:09:26Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![LGDi](https://sea2.discourse-cdn.com/flex002/user_avatar/discourse.slicer.org/lgdi/32/65992_2.png) [@LGDi](https://discourse.slicer.org/u/LGDi)\
**Post date:** [August 29, 2024, 1:09pm UTC](https://discourse.slicer.org/t/is-it-possible-to-use-slicerrt-delineate-the-target-and-oar/38116/1 "2024-08-29T13:09:26Z")

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I have imported the DICOM images. Can I use slicerRT to delineate the target and further calculate the dose?

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**Author:** ![cpinter](https://sea2.discourse-cdn.com/flex002/user_avatar/discourse.slicer.org/cpinter/32/7995_2.png) [@cpinter](https://discourse.slicer.org/u/cpinter)\
**Post date:** [August 29, 2024, 1:21pm UTC](https://discourse.slicer.org/t/is-it-possible-to-use-slicerrt-delineate-the-target-and-oar/38116/2 "2024-08-29T13:21:00Z")

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One of the most advanced features of Slicer is image segmentation

I’d start with this page of the documentation

> **[Image Segmentation — 3D Slicer documentation](https://slicer.readthedocs.io/en/latest/user_guide/image_segmentation.html)**

Also there are tons of discussions on the forum about it, but I recommend checking out the new AI based automatic segmentations

> [@New extension: Fully automatic whole-body CT segmentation in 2 minutes using TotalSegmentator](https://discourse.slicer.org/t/new-extension-fully-automatic-whole-body-ct-segmentation-in-2-minutes-using-totalsegmentator/26710):
>
> The [TotalSegmentator AI model is now available as an extension for 3D Slicer](https://github.com/lassoan/SlicerTotalSegmentator#totalsegmentator) version 5.2 and above (see installation instructions [here](https://github.com/lassoan/SlicerTotalSegmentator#setup)). A large number of AI segmentation models have been developed over the past few years, but [TotalSegmentator](https://github.com/wasserth/TotalSegmentator) stands out in several aspects: it can segment many structures: 104 anatomical structures (all abdominal organs, bones, larger vessels, muscles) it is very robust: it can segment any whole-body, abdominal, chest CT images, regardless of image…

> [@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):
>
> New extension: MONAI Auto3DSeg - raise the bar in AI medical image segmentation MONAI Auto3DSeg extension is a collaboration between MONAI and 3D Slicer developer teams (led by Andres Diaz Pinto - NVIDIA and Andras Lasso - PerkLab) to improve on the state-of-the-art in fully automatic 3D medical image segmentation and make the results widely accessible. The extension comes with dozens of pre-trained segmentation models for specific clinical use cases, which are designed to be fast and run anywh…