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
Participant
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
Participant
Colon Nuclei Identification and Counting Challenge 2022
ACROBAT 2023
Challenge
Participant
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
Participant
MONKEY (Machine-learning for Optimal detection of iNflammatory cells in KidnEY)
