BIRL: Benchmark on Image Registration methods with Landmark validation, in particular, Biomedical image registration on WSI microscopy images of a multi-strain histology tissue sample.
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This comparison shows that, of the three methods tested, SyN's volume measurements are the most strongly correlated with volume measurements gained by expert labeling.
SOTA for BIRL on CIMA-10k
This report presents a generic image registration benchmark with automatic evaluation using landmark annotations.
Image registration is a common task for many biomedical analysis applications.
Here we present a new image registration algorithm for the alignment of histological sections that combines the ideas of B-spline based elastic registration and consistent image registration, to allow simultaneous registration of images in two directions (direct and inverse).
#3 best model for BIRL on CIMA-10k
To cope with both iconic and geometric (landmark-based) registration, we introduce two graphical models, one for each subproblem.
#2 best model for BIRL on CIMA-10k