Our work on Whole Slide Images (WSIs) registration was published in Computer Methods and Programs in Biomedicine:
“RegWSI: Whole slide image registration using combined deep feature- and intensity-based methods: Winner of the ACROBAT 2023 challenge“, by M. Wodzinski, N. Marini, M. Atzori, and H. Müller
In this article, we introduce a new method dedicated to automatic registration of WSIs. The proposed method has superior generalizability and does not require any re-training or fine-tuning to particular dataset. The quantitative results are very accurate, and the algorithm is the best registration method on the ACROBAT and HyReCo datasets.
The source code is released and included in the DeeperHistReg framework, allowing end-users to use it in their research.
