A Two Step Approach for Whole Slide Image Registration
This work addresses the registration of medical images for routine diagnostics, but it is incremental as it applies a standard two-step approach to a new dataset.
The authors tackled the problem of multi-stain whole-slide-image registration by participating in the ACROBAT challenge to assess real-world applicability, achieving a median 90th percentile of 1,250 um on the validation dataset.
Multi-stain whole-slide-image (WSI) registration is an active field of research. It is unclear, however, how the current WSI registration methods would perform on a real-world data set. AutomatiC Registration Of Breast cAncer Tissue (ACROBAT) challenge is held to verify the performance of the current WSI registration methods by using a new dataset that originates from routine diagnostics to assess real-world applicability. In this report, we present our solution for the ACROBAT challenge. We employ a two-step approach including rigid and non-rigid transforms. The experimental results show that the median 90th percentile is 1,250 um for the validation dataset.