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[ICIVC 2019] "LSTM multi-modal UNet for Brain Tumor Segmentation"

Python 100.00%
brats-dataset lstm-cnn medical-imaging multi-modal-imaging unet-pytorch

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lstm_multi_modal_unet's Issues

Train on my own dataset

Hi!
First of all, thank you very much for sharing your project. It's a great job, congratulations!

I would like to train your network with my own dataset. I've .nii MRI files, Sagital T2 and STIR. Each file (patient) has got several slices, between 12 and 16 (shape=[nslices, 256, 256]).

Could you tell me if would be possible to train it with your network?
And, in the event that it is possible, how must I organize the data for training, i.e., all the slices in one array, each file in one array...?
Thank you very much in advance!

All the best :)

about temporal

Hi, I just want to know what the temporal means for. Thank you!

i keep getting this error in utils.py

File "/././src.utils.py", line 93, in norm_vol
data = data.astype(np.float)
ValueError: setting an array element with a sequence.

I keep getting the error as above when i try to run your code with braTS18 dataset.
can you tell me what is happening and how to solve this problem?

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