hi,
i am trying to apply a 3d unet to a set of 3d images that I have for segmentation but it’s the first time i do it and i am facing some issues.
My images have only 1 channel but are very big (ct scans) so i reduced by a factor 3 so that they have now a shape that is around 800 in height and 700 in width. the issue is that the depth,i.e. the number of slices, vary a lot from one volume to the other,from a minimum of 16 to a maximum of 109 and padding everything to the maximum shape is very inefficient. what should i do?
I have a v100 gpu with 32 gb of ram, can i process whole images or should i use patches? thank you for any help