Grand Challenge

A platform for end-to-end development of machine learning solutions in biomedical imaging.

135,000+ users

420 challenges

7,786 algorithms

July 2026 Cycle Report

July 2026 Cycle Report

This cycle our team worked on the following improvements: high-performance rendering for bounding boxes, lines, and polygons in the pathology viewer; a new invoke API template for algorithms and evaluations; more private, backend-driven scoring for educational reader studies (with one important behaviour change); and a new bulk accept/reject shortcut for …

Summer Newsletter 2026

Summer Newsletter 2026

Welcome to the Summer Edition of Grand Challenge Insights!

June 2026 Cycle Report

June 2026 Cycle Report

This cycle sees the release of the updated interactive algorithm support, now offering GPU options to speed up inference calls. The schema for annotations has been updated, allowing you to define the exact plane for displaying each annotation. For challenge admins, it is now possible to view the available budget, …

FEATURED CHALLENGES

Participate in a challenge Organize your own challenge

Light My Cells 2 : Transmitted Light to Fluorescence Challenge

Opening submissions for MIP - Mock on Sep 20 2026 at 22:00
10 2026

TopBrain Segmentation Challenge Version 2

Algorithm submission challenge

Opening submissions for Validation-TA36-Seg on Sep 08 2026 at 22:01
82 Article Sept. 27, 2026

CHIMERA-agent

Algorithm submission challenge

Accepting submissions for Debug until Dec 18 2026 at 22:59
257 50 2026

autoPET V - Automated Lesion Segmentation in Whole-Body PET/CT

Algorithm submission challenge

Accepting submissions
253 173 2026

FEATURED ALGORITHMS

Try out an algorithm Host your own algorithm

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

Article

Pancreatic Ductal Adenocarcinoma Detection in CT

Article

Lung nodule detection for routine clinical CT scans

Article

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

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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

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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

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Benchmark Algorithms

Manage your annotated training, test and validation data sets
Gather machine learning solutions for your clinical question
Fair assessment of algorithm performance

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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

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