The challenge focuses on comparing the accuracy (using manually annotated landmarks) and the approximate speed of automatic non-linear registration methods for aligning microscopy images of multi-stained histology tissue samples.
SegPC-2021
Challenge
User
This challenge is positioned towards robust segmentation of cells which is the first stage to build such a tool for plasma cell cancer, namely, Multiple Myeloma (MM), which is a type of blood cancer.
CoNIC 2022
Challenge
User
Colon Nuclei Identification and Counting Challenge 2022
ACROBAT 2023
Challenge
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The ACROBAT challenge aims to advance the development of WSI registration algorithms that can align WSIs of IHC-stained breast cancer tissue sections to corresponding tissue regions that were stained with H&E. All WSIs originate from routine diagnostic workflows.
MONKEY challenge: Detection of inflammation in kidney biopsies
Challenge
User
MONKEY (Machine-learning for Optimal detection of iNflammatory cells in KidnEY)
