GRAND CHALLENGE
A platform for end-to-end development of machine learning solutions in biomedical imaging.
Community Stats
118,000+ users
394 challenges
6,293 algorithms
Latest News
Summer Newsletter 2025
Welcome to the Summer Edition of Grand Challenge Insights! In this blog we will share the latest updates and highlights from our Grand Challenge community.
July 2025 Cycle Report
This cycle, we have enabled auto-save in our reader studies, updated our documentation page, and made the first steps towards adding support for native DICOM data.
April 2025 Cycle Report
During the April cycle, the RSE-team has worked on the reader study feature. We implemented budget caps for those reader studies that use interactive algorithms, thereby protecting us and our users from run-away costs. Participants in educational reader studies can view how well they did compared to other readers in …
Read More!Get Involved!
Organize your own Challenge
Featured Challenges
PANTHER Challenge - Algorithm submission challenge
Challenge completed | 281 | 197 | 2025
The LUNA25 Challenge - Algorithm submission challenge
Challenge completed | 970 | 534 | 2024
UNICORN - Algorithm submission challenge
Accepting submissions | 264 | 732 | 2024
Diagnostic Report Analysis: General Optimization of NLP - Algorithm submission challenge
Accepting submissions | 197 | 106 | 2023
Featured Algorithms
DataScientX (N. Debs, A. Routier, et al.; France) algorithm trained on PI-CAI: Private and Public Training Dataset
Deep learning to estimate pulmonary nodule malignancy risk using a current and a prior CT image
Pancreatic Ductal Adenocarcinoma Detection in CT
Article
Lung nodule detection for routine clinical CT scans
Article
Try out an algorithm
Host your own algorithm
Features
Manage Your Data
Upload medical imaging data easily and securely
Control who has access to the data
View data with our globally available browser-based workstations
Manage Data
Train Expert Annotators
Create sets of questions that users must answer about a dataset
Invite clinical experts take part in the training
Deliver immediate feedback on performance
Train Annotators
Gather Annotations
Create your own set of questions for your dataset
Customise the hanging protocols and overlays
Use our intuitive workstations to view and report the images
Gather Annotations
Benchmark Algorithms
Manage your annotated training, test and validation data sets
Gather machine learning solutions for your clinical question
Fair assessment of algorithm performance
Benchmark
Deploy Your Algorithms
Upload algorithm container images
Manage access for clinical and non-clinical researchers
Upload data for execution by your algorithm on our infrastructure
Deploy
Welcome, Web Surfer!
Your Visitor Number:
#1,234,567
Email Me!
Best viewed in Netscape Navigator 4.0!
Also works in IE 5!