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As the preprocessing from `run_nnUnet_preprocessing.py` is super RAM intensive and long we need to cache saved features and allow restarts to use previously computed features.
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During a discussion with @kennethaweberii and @MerveKaptan, we discussed if our 3d automatic segmentation model would work if it has to segment the spinal cord on a single slice.
I am currently in…
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@thuhoainguyen Please write here (or attach the file) about thesis objectives. I will help you with the code but I need to understand the objectives...
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Related to **Model/Framework(s)**
PyTorch/Segmentation/nnUNet
**Describe the bug**
I am trying to run the example provided on the nnUNet. The code works fine when I use single GPU. However, if …
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Is there any reason for not sharing the trained model as a zip file exported with the command nnUNet_export_model_to_zip?
It would make it very simple to import and use as there is a corresponding …
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The blogger is deeply grateful for your work. Currently, I am eager to train my own model using nnunetv2; however, I am confronted with a limited amount of data. I am pondering whether it would be fea…
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我对模型进行了简单的validation验证，使用了amos2022的数据，没有经过预处理，直接跑的时候得到的效果并不好，我想问的是需要对数据进行量化上的预处理吗，具体要怎么处理呢？并且我用自己的mri数据（brain）的val.sh的iou和dice两个值几乎为0
![91566cd7897ca6eac0a163d40f5beb4](https://github.com/user-attach…
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Hi,
I'm running the nnUNet on a cluster using GPU. After finish training 1000 epochs, it always has a runtime error when predicting the 7th validation case. I wonder how can I solve this problem. H…
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你好，我在PnPNet看到你对作者提出了一些疑问找过来的，想请问一下作者在他的代码库中省略的利用nnUNet的z-score进行归一化，我试着进行了归一化后训练效果有点差，我想知道您是怎么对verse19数据集进行处理的，谢谢
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Is it possible to use Swin-Unet on 2D images for different types of segmentation tasks? And if so, how should I proceed?
Gnkgo updated
1 month ago