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Hi,
can you provide the test code and dataset?
bhp
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Dear @diazandr3s
I have the question.
When I ran monailabel in 3D Slicer, segmentation accuracy is very low.
And there are waring messages in python console as follows.
![image](https://user…
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Hello
How do I prepare the kits19 for training and test ?
thank you so much
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Task003_tumor Cannot be inferred using the last model provided?
Traceback (most recent call last):
File "/home/lcl/unetr_plus_plus/unetr_pp/training/model_restore.py", line 168, in
trainer =…
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Hello guys, I've encountered the following problem. After installing the model, I tried to run the model on my dataset. However, when running the code "nnUNet_plan_and_preprocess -t 001" in the comman…
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i use correct path of my training data,but can't run the train.py,the following is my log:
(my-env) root@autodl-container-22d9119dfa-7f3a08d0:~/autodl-tmp/BiTr-Unet# python3 -m torch.distributed.laun…
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How we can view the brain MRI and finally the segmented image.
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@JuliaWolleb
1) Getting nan values in very early stages of training why is that? what might be going wrong? Kindly let me know how to solve the nan issue.
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| grad_norm |…
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Hello.
The labels I train with are float64 type. If I convert them to int and do the training again with this data, will there be a gain in prediction and saving time?
Will this decrease the train…
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As far as I know, using Dice, PPV and Sensitivity to evaluate the segmentation image must have the ground truth of the testing dataset. I cannot get the 'more' that the type of it is .nii of the testi…