A Two Step Approach for Whole Slide Image Registration
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Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 3 references that are in the map. First posted on arXiv 25 Aug 2022.
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References · 2
- 2014Adam: A Method for Stochastic Optimizationcited by 37,240
- 2018VoxelMorph: A Learning Framework for Deformable Medical Image Registrationcited by 662
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