Image registration with image masks ¶
By: xi on Aug. 26, 2021, 7:32 p.m.
Just want to confirm with you about the usage of the image masks.
For task 1 and task 3, we noticed that if we solely input the mask pairs into a simple CNN, the performance, regarding the Dice score, is already surprisingly high.
Then one may first adopt a segmentation model to segment these input images and then directly and solely compute the displacements on the masks.
By doing so, obviously, the performance is dependent on the segmentation accuracy rather than registration itself.
It's like image registration without images.
A similar problem also exists in task 2, that is one can first compute landmarks on images and then directly estimate the displacements from the landmarks.
We believe the organizers should make this clear that whether we are allowed to directly compute displacements without original images involved.
Are we allowed to stack the image and its mask as a whole as input as well?