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.
LYON19
Challenge
User
Automatic Lymphocyte detection in IHC stained specimens.
MIDOG Challenge 2021
Challenge
Editor
Mitosis Domain Generalization Challenge 2021 (part of MICCAI 2021)
TIGER
Challenge
User
Grand challenge on automate assessment of tumor infiltrating lymphocytes in digital pathology slides of triple negative and Her2-positive breast cancers
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.
MItosis DOmain Generalization Challenge 2022
Challenge
Editor
PAIP 2023: TC prediction in pancreatic and colon cancer
Challenge
User
Tumor cellularity prediction in pancreatic cancer (supervised learning) and colon cancer (transfer learning)
The LEOPARD Challenge
Challenge
User
Cross-Organ and Cross-Scanner Adenocarcinoma Segmentation
Challenge
User
Quality assessment of whole-slide images through artifact detection
Algorithm
User
Quality scoring with artifact detection in whole slide images; out-of-focus, tissue folds, ink, dust, pen mark, and air bubbles.
