you so one of the things which we have sort of played around with is can we use adversarial training to try to make sure that we learn feature representations which are invariant to the data but also which don't require us to have annotations for the test data because that's actually very expensive to do in in medical imaging so I guess I this problem I think I don't really need to explain to you in very much detail but you basically end up with training your machine on on the source domain trying to separate one set of labels