The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue

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Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo, Constance Boissin, Sonja Koivukoski, Aino Kuusela, Dusan Rasic, Yanbo Feng, Sandra Kristiane Sinius Pouplier, Abhinav Sharma, Kajsa Ledesma Eriksson, Stephanie Robertson, Christian Marzahl, Chandler D. Gatenbee, Alexander R. A. Anderson, Marek Wodzinski, Artur Jurgas, Niccolò Marini et al. (21 additional authors not shown)

Published: 2024, Last Modified: 14 Jan 2026Medical Image Anal. 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•largest study to date on multi-stain histopathology image registration.•tissue originates from routine clinical workflows.•the contributions of eight teams are analysed and discussed in detail.•best-performing method approaches human annotator precision.•analysis of algorithms and covariates can guide future methods development.