How to preprocess a dataset using the parameters of another one and train a model

[jamesgwen]

Hello,

I have 2 datasets: T1 and T2.
I would like to run nnUNet on T1. Then I would like to preprocess T2 using the T1 preprocessing parameters and train another nnUNet model. Essentially, I would like the rules created by the heuristics for T1 to apply to T2 for preprocessing. Is there an easy way to accomplish this task?

Thanks in adv.

[b-niu]

Hi @jamesgwen, I believe the matter you mentioned has already been described in the instructions.
However, I was wondering if you could explain why you don't want to combine T1 and T2 and train a single model on both. It can perform quite well.