# Difference between DeepEdit and Segmentation Model in Monai 

**URL:** <https://discourse.slicer.org/t/difference-between-deepedit-and-segmentation-model-in-monai/29606>\
**Category:** Support\
**Tags:** segmentation, monailabel\
**Created:** [May 23, 2023, 1:56pm UTC](https://discourse.slicer.org/t/difference-between-deepedit-and-segmentation-model-in-monai/29606 "2023-05-23T13:56:05Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Arpan\_Gyawali](https://sea2.discourse-cdn.com/flex002/user_avatar/discourse.slicer.org/arpan_gyawali/32/65977_2.png) [@Arpan\_Gyawali](https://discourse.slicer.org/u/Arpan_Gyawali)\
**Post date:** [May 23, 2023, 1:56pm UTC](https://discourse.slicer.org/t/difference-between-deepedit-and-segmentation-model-in-monai/29606/1 "2023-05-23T13:56:05Z")

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I have to do the segmentation of the brain from the CTA data. I choose MONAI Label for that, and I am using the Monai extension in the 3D slicer. I have gone through all the lecture videos on YouTube as well as the documentation, but I couldn’t find in which case which model would be better to use. To my knowledge, the Segmentation model was introduced later in Monai, so I couldn’t find much about it. DeepEdit model uses either UNETR or DynUNet network while the segmentation model uses SegResNet network. But I don’t know how they work. Before I start looking at them in deep, can someone tell me the differences in using those models in the Monai label for segmentation, especially for brain CTA?