Grand Challenge

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

102,000+ users

350 challenges

4,691 algorithms

July 2024 Cycle Report

July 2024 Cycle Report

In July we developed a new feature for Cirrus which allows editors to load registration data for images in the viewer. We included support displacement fields and affine transform registrations. These can be assigned to images using the view-content section in reader studies, archive items, or algorithms.

Summer newsletter 2024

Summer newsletter 2024

Welcome to the summer newsletter of Grand Challenge!

June 2024 Cycle Report

June 2024 Cycle Report

In this cycle, we introduced the capability to update containers and models separately for both Evaluation methods and Algorithms, streamlining and accelerating the process of updating your model or ground truth. For challenges utilizing multiple metrics, you now have the flexibility to exclude specific metrics from the ranking method while …

FEATURED CHALLENGES

Participate in a challenge Organize your own challenge

TopCoW 2024 Challenge

Algorithm submission challenge

Opening submissions for Validation-MRA-Task-3-Edg on Sep 14 2024 at 00:00
118 Article Oct. 6, 2024

AutoPET III

Algorithm submission challenge

Accepting submissions for Preliminary Test Set until Sep 15 2024 at 21:59
505 57 2024

The LEOPARD Challenge

Algorithm submission challenge

Accepting submissions for Sanity check
455 303 2024

PANORAMA

Algorithm submission challenge

Accepting submissions
293 10 2023

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
Objectively assess the performance of algorithms

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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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