Sorry for the late reply.
I think you would simply work on the original problem (like cancer classification or else), and treat the variability (rotation, scaling, translation) as data augmentation. If you want to normalize the images (w.r.t. the variability) so that every image has the same orientation, scale, position, then that is another problem! Is that what you want to achieve?