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Implement [nnU-net](https://github.com/MIC-DKFZ/nnUNet) to get a grip on the segmentation part of the pipeline.
Edit after meeting (24/4//24):
The following subtasks are added:
- [ ] #65
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### Search before asking
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### Search before asking
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### Discussed in https://github.com/ivadomed/ivadomed/discussions/1324
Originally posted by **MirenLurBarquin** October 10, 2024
Dear all,
I am currently using [AxonDeepSeg](https://axonde…
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Hi,
I have tried "runPipeline --datahub breast-tumour-segmentation --file my_slide.svs". But none results are saved. Could you please provide a full command or python codes to segment a testing WSI…
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Hi! I have been using torch_tensorrt for speedup of pytorch models and have been loving it. But sometimes i face problems while conversion.
In this case, i was using segmentation-models-pytorch(sm…
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and found no similar bug report.
### Ultralytics YOLO Component
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Is there a quick script, notebook or colab to run semantic segmentation inference with the baseline model on some arbitrary image that is not part of the competition data?
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I would like to ask you a question, I pre-train on my medical image data set (6k) according to the official pre-training code, and then the downstream task is segmentation, but the fine-tuning results…
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Hi. If I have a RGBD video where a moving human is present. Is it possible for me to mask out the human by some segmentation model and then use ROSEFusion to estimate camera moving trajectory?