ChristianEschen

So I figured out the main isssue is that loading multiple dicom files, the "loadimage" function tries to stack the images as it assumes the images are different modalities with...

So the problem occurs if multiple dicom images of different size are passed to the loadimage transform. This is similar to the comment from rijobro: https://github.com/Project-MONAI/MONAI/issues/3588#issuecomment-1006703229

I got a similar error: vr = VideoReader(path, ctx=cpu(0)) for i in range(len(vr)): frame = vr[i] [15:11:50] /io/decord/src/video/video_reader.cc:280: Failed to seek file to position: 0 I am on linux...

As a comment; I have tried to replicate my input images to (512,512,3), however, this gives a dimension mismatch error.: "ValueError: could not broadcast input array from shape (512,512,3) into...

Still no success. Images are gray scale 512x512 and unit16. Both input images and label images. Is the code compatible with grayscale or only rgb? I have not chanced feat_stride...

I found out that the label-images wer scaled after preprocessing in matlab to [0,255] By changing the numclasses to 3 instead of 2 I manage to train the netowrk: elif...

"Besides, it doesn't make sense to let the network predict three classes given there are only two kinds of pixels." I know. I just noticed that I did not experience...

Thank you for the response. I have now introduced a synthetic "ignore label" category with pixel intensity=255, which I know a priory can be ignored. Now I can train the...

What should the sum metric function look like for two-wat classification?

Hi. First of all. I am not the owner of the code. But I have faced the same issue. I think the work around is change the sum metric to...