pykao / modified-3d-unet-pytorch Goto Github PK

hello, thanks for you work, would you mind to share you demo file to run this model? Appreciate

Thanks for your code and I have a problem.
When I run the N4ITKforBRATS2017.py，I got an error :/traindata/id name conversion.txt not found. What is the content of this txt file?

Hi @pykao
Thanks for great repo. I am just wondering if you can provide proper link for BraTS2018-tumor-segmentation as you mentioned at the end of the README.md-

Please refer to our BraTS2018-tumor-segmentation repo if you would like to use this model on brain tumor segmentation.

Best,
Azam.

Hi

Thanks for sharing your work,

Does the modified unet expect a fixed shape like (1,1,128,128,128) or will any shape do ?

Thanks in advance.

Hello,

Thank you very much for your work. I have a question about how to process data. In what form is the data used as input to the network? Or can you open some data?

Thanks in advance!

for epoch in range(max_epochs):
    # Training
    for orig, segmented in training_generator:
        # Transfer to GPU
        orig, segmented = local_batch.to(device), local_labels.to(device)

orig and segmented are torch tensors that represent the images that i need UNet to use to train. How do I implement the training script for this? I'm a bit confused.

Thanks for the great respo.
I'm really enjoying your work, but I'm a starter in pytorch.
Would it be possible for you to release the training part and data loading part? So this project can be used to training models based on local data.

Looking forward to your reply.
Edward