Hi
I have a question about Unet. I have a 3D dataset, in which each volume is of size 112x40x40. For my convenient I resized the volumes (using interpolation) to the size 128x128x128 and trained a Unet for segmentation.
Now, for some reasons I want to preserve the original size of volumes, is there any way that I can train Unet with the original dimensions 112x40x40?
My thought is that the spatial dimension of images should be of power 2 when we are working with Unet. Is that correct?
If it is not possible that train Unet with the original size of volumes, is there any other way than interpolation and zero padding that I can resize volumes to size 128x128x128?
Thank you in advance.
Best