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.
AGGC22
Challenge
User
ACROBAT 2023
Challenge
User
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.
Breast Cancer Immunohistochemical Image Generation Challenge
Challenge
User
The Breast Cancer Immunohistochemical Image Generation Challenge aims to directly generate IHC-stained breast cancer histopathology images from HE-stained images.
Robust Non-rigid Registration Challenge for Expansion Microscopy
Challenge
User
Gleason Grading of Prostate Biopsies
Algorithm
User
Automated Gleason grading of prostate biopsies following the Gleason Grade Group system.
