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Hi,
when training a model on multiple GPUs with patch-wise cropping, I get the following error:
batches.pop(0) from empty list
I train with a patch size of (64,64,64), 4 Gpus and 10 workers.
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Hello Dominik,
In your paper in BMC you mention kidney Dice coefficients and tumor Dice coefficients. How did you get the algorithm to output a separate Dice coefficient for kidneys and tumors?
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Add the training logic to examples/mlperf/model_train.py -> def train_unet3d():
[Links](https://github.com/mlcommons/training/tree/master/image_segmentation/pytorch) to the reference implementation…
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src:https://arxiv.org/abs/1908.02182
Composit dice:91.23
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Hi all! I have all my data stored in an S3 bucket and I would like to use Hub to load my data from S3, yet my data on the cloud is compressed using [Jetraw by Dotphoton](https://www.jetraw.com/) and I…
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Hi,
I converted my dicom dataset to nifti files (images and segmentations), and I arranged the data in a folder like the kits19 example.
But, when I try to use the "60 sec" example on my own datas…
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The Image Segmentation (Pytorch UNet3D) benchmark relies on the KITS19 dataset. I've followed the instructions from the KITS19 dataset repository for downloading the dataset and have been trying to ru…
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hi, i am trying to perform inference using unet on just kits19 dataset using test.py, i created the dataset directory as required satisfying following test.txt file
![Screenshot 2024-01-02 191833](h…
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Hi, I am trying to redownload the data however there is only segmentation file and I can not file imaging file
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```
module: "main"
main:@0 = @literal{1.00136e-05} -> half_type, {1}, {0}
main:@1 = @literal{0.00069046} -> half_type, {1}, {0}
input.1 = @param:input.1 -> half_type, {1, 32, 128, 128, 128}, {6710…