Grand Challenge

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

133,000+ users
419  challenges
7,106  algorithms
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ODIN 2026 Challenges
Accepting submissions
30 4 Sept. 27, 2026
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HEADLINE: Benchmarking VLMs in Head CT Reporting
Accepting submissions
48 37 2026
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Pathologist REasoning-Guided REport Generation Challenge
Challenge completed
289 48 2026
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Peripelvic Fracture Segmentation and Reduction Planning
Accepting submissions
288 174 2026
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DataScientX (N. Debs, A. Routier, et al.; France) algorithm trained on PI-CAI: Private and Public Training Dataset
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Deep learning to estimate pulmonary nodule malignancy risk using a current and a prior CT image
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Pancreatic Ductal Adenocarcinoma Detection in CT
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Lung nodule detection for routine clinical CT scans

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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