Few-Shot Learning for Deformable Medical Image Registration With Perception-Correspondence Decoupling and Reverse Teaching
Volume: 26, Issue: 3, Pages: 1177 - 1187
Published: Mar 1, 2022
Abstract
Deformable medical image registration estimates corresponding deformation to align the regions of interest (ROIs) of two images to a same spatial coordinate system. However, recent unsupervised registration models only have correspondence ability without perception, making misalignment on blurred anatomies and distortion on task-unconcerned backgrounds. Label-constrained (LC) registration models embed the perception ability via labels, but the...
Paper Details
Title
Few-Shot Learning for Deformable Medical Image Registration With Perception-Correspondence Decoupling and Reverse Teaching
Published Date
Mar 1, 2022
Volume
26
Issue
3
Pages
1177 - 1187
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