The LUNA16 challenge: automatic nodule detection on chest CT
ANHIR
Challenge
User
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.
PAIP 2019
Challenge
User
PAIP2019: Liver Cancer Segmentation Task 1: Liver Cancer Segmentation Task 2: Viable Tumor Burden Estimation
Learn2Reg
Challenge
User
Challenge on medical image registration addressing: learning from small datasets; estimating large deformations; dealing with multi-modal scans; and learning from noisy annotations
SynthRAD2023
Challenge
User
SynthRAD is the first challenge on automatic generation of synthetic computed tomography (sCT) for radiotherapy
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.
PDAC Tumor Segmentation
Algorithm
User
This algorithm takes an HE histology images of the pancreas, segments the tissue, segments the epithelium and segments the tumor (if present)
