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Dear Ellis,
Thank you for your contribution. I have been trying to run a training experiment on the BraTS20 dataset which I got from [Kaggle](https://www.kaggle.com/datasets/awsaf49/brats20-dataset…
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When utilizing cross-validation, the 'train.py' script only executes the initial fold. The issue appears to stem from the fact that the script checks the log file to resume interrupted training, but s…
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# What is nnUNet ?
nnUNet is a segmenting framework with automatic data-driven augmentation available on [github](https://github.com/MIC-DKFZ/nnUNet).
# Installation
## Code management
need pyt…
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**Problem**
Inference is a tad bit slow when it comes to large datasets.
**Solution**
Performance gains can be achieved by using Intel's Neural Compressor: https://github.com/intel/neural-comp…
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I am doing tumor segmentation task on image dataset BraTS 2021, using the Swin UNETR model. For now, I am using just 5 samples. Images are 4 modalities, 3D (240x240x155). Trying to run following code…
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BraTs dataset in trainer train has 387 datasets, val has 73 datasets together a total of 460, but a total of 484, the author provides preprocessed imagesTs dataset is 485 after no labels, if not run d…
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Hi Fabian,
I have a question when dealing with multi-modality dataset. I saw the part for dataset.json in dataset conversion instruction. You gave an example from MSD Prostate task. I try to create m…
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Hello,
I was using nnUNetV2 on BraTS 2021 dataset and after training phase, when I was trying to use the nnUNetv2_find_best_configuration function, I came accross this error.
```
Configuration 3d…
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Hello author,
I put my data set into the nnunet project and successfully preprocessed and trained, but the nii.gz result file obtained after reasoning is all black without segmentation results. Wha…