I have a DL-based model for registration of medical images and I’ve trained it on dataset (MRI images of brain), given in the GitHub repo of the model. Now I want to train it on my own dataset (FBCT and CBCT images) – can someone please tell me the steps on how to do this?
Do I need to change the size of my dataset to match the other dataset? Does modality of the pictures play a role in training etc.?