# Question on DentalSegmentor memory error

**URL:** <https://discourse.slicer.org/t/question-on-dentalsegmentor-memory-error/39451>\
**Category:** Support\
**Tags:** segmentation\
**Created:** [September 30, 2024, 9:35am UTC](https://discourse.slicer.org/t/question-on-dentalsegmentor-memory-error/39451 "2024-09-30T09:35:08Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![alientex](https://avatars.discourse-cdn.com/v4/letter/a/e79b87/32.png) [@alientex](https://discourse.slicer.org/u/alientex)\
**Post date:** [September 30, 2024, 9:35am UTC](https://discourse.slicer.org/t/question-on-dentalsegmentor-memory-error/39451/1 "2024-09-30T09:35:09Z")

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Hello,

I’ve selected cuda from the following device option in DentalSegmentor:  
 ![image](https://us1.discourse-cdn.com/flex002/uploads/slicer/original/3X/d/4/d4aa752fb4dbf81218e3d6563323ec9222e9df4e.png)

When I click on Apply button, I get the following error:

`
####################################################################### Please cite the following paper when using nnU-Net: Isensee, F., Jaeger, P. F., Kohl, S. A., Petersen, J., & Maier-Hein, K. H. (2021). nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation. Nature methods, 18(2), 203-211. ####################################################################### There are 1 cases in the source folder I am process 0 out of 1 (max process ID is 0, we start counting with 0!) There are 1 cases that I would like to predict Predicting volume: perform_everything_on_device: True Prediction on device was unsuccessful, probably due to a lack of memory. Moving results arrays to CPU
`

RAM size: 16 GB  
GPU: NVidia Geforce GTX

Please help, Thank you.

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<div class="post-metadata">

**Author:** ![alientex](https://avatars.discourse-cdn.com/v4/letter/a/e79b87/32.png) [@alientex](https://discourse.slicer.org/u/alientex)\
**Post date:** [October 1, 2024, 3:46am UTC](https://discourse.slicer.org/t/question-on-dentalsegmentor-memory-error/39451/2 "2024-10-01T03:46:58Z")

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@lassoan @pieper @cpinter @muratmaga

Could you help me solve this issue?

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**Author:** ![lassoan](https://sea2.discourse-cdn.com/flex002/user_avatar/discourse.slicer.org/lassoan/32/13_2.png) [@lassoan](https://discourse.slicer.org/u/lassoan)\
**Post date:** [October 1, 2024, 4:37am UTC](https://discourse.slicer.org/t/question-on-dentalsegmentor-memory-error/39451/3 "2024-10-01T04:37:38Z")

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You can try to crop and downsample your input image (using Crop volume module) to reduce memory need or try with a GPU with more memory.

You may also find more information in the application log.