domain but the important thing is the top this this loss here I can only evaluate for samples from scanner a because that's my training set whereas this domain discriminator i can actually evaluate for samples from scanner a and b because i only need to know whether they come from scanner a and b and that's quite easy to do and it turns out that this actually does does really quite well so here's an example what happens when you don't do this domain adaptation so here actually instead of using data from different scanner we