The Medical Segmentation Decathlon challenge tests the generalisability of machine learning algorithms when applied to 10 different semantic segmentation task.
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
This challenge will create the platform to evaluate emerging methods for the segmentation and quantification of lung lesions caused by SARS-CoV-2 infection from CT images.
BrainPTM 2021
Challenge
User
Brain Pre-surgical Tractography Mapping (BrainPTM) in real clinical scans.
Ultra-low Dose PET Imaging Challenge
Challenge
User
This challenge aims to develop deep learning algorithms capable of recovering high-quality imaging from low-dose scans on this ultra-low-dose PET scanner.
