The data is divided into training and evaluation. The training data has landmarks, while the evaluation data does not. I have the following two questions when I try to make registration based on deep learning. It would be very grateful if the organizer of the challenge could answer the questions.
- in one image group, such as in ‘COAD_01’, S1-HE registration has the status of evaluation, while the S3-S1 registration has the status of training. Could I use the latter in training set? I have this question, because since one group of images are all from the same sample, maybe one group images(such as ‘COAD_01’ images) should be evaluation together or be training together when training neural network.
- The training data in the challenge is provided with landmarks, but the evaluation data in the challenge does not have landmark files. If I use the unsupervised registration method, in other word, I do not need the landmark files, can I add all the data (with status of training and evaluation) to the neural network as training data?
Looking forward to the replies, thanks!