Understanding the framework

Hello, 
How many patches did you create per image and how many epochs did you train? 

How did you maintain the high resolution and upsampled prediction concatenation? Did you reconstruct the low res segmentation of the entire image volume(subject) then upsample to the original size then cropping patches from the high-res image and corresponding (voxel as center) predicted segmentation? 
  