Ask about the mean of the image_A.nii.gz and image_B.nii.gz in the Dataset folder?

[tphankr]

Allow me ask, images in Dataset folder, Are they like a fixed image and a moving image?

Thank you.

[zhangjun001]

Yes. They are fixed and moving images.

[tphankr]

Yes. They are fixed and moving images.

Thank you @zhangjun001,
I have been following your paper to learn.

Thank you @zhangjun001.

[tphankr]

Thank you @zhangjun001,
Allows me ask more about HOW TO UNDERSTAND ABOUT THE INPUTS in the training processing.

When we run the code by " python Train.py", at that time, in the "Train.py" file was setted at lines 32, 33 and 34, as bottom follows:
And in the Dataset folder had only two files ( image_A.nii.gz and image_B.nii.gz). It means the input for the model is that two image for the training processing and the training processing is keep repeating ( min(F, M(y)). If now we have three images or more ( image_A.nii.gz, and image_B.nii.gz, image_C.nii.gz,...) in the Dataset folder for training, what's going on?
I understand the following, is it correct? Please help me.
The training processing needs only two image ( moving image and target imaget), right?. So with 3 images in the Dataset folder:
The first, the training processing is trained with 2 image such as image_**A.**nii.gz, and image_B.nii.gz. And second, the training processing is trained with two orther image such as image_A.nii.gz, and image_C.nii.gz. And the third, the training processing is trained with 2 image such as image_B.nii.gz, and image_C.nii.gz. From here we can understand for 10 images, 100 images in the Dataset folder ( Each training only needs to take two inputs of a lots of available data in the Dataset folder). Thank you @zhangjun001 .

Thank you @zhangjun001.