Grand Challenge

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

105,000+ users
373  challenges
4,991  algorithms
PUMA logo
PUMA: Panoptic segmentation of nUclei and tissue in MelanomA
Accepting submissions
165 4  Article 2024
MONKEY logo
MONKEY challenge: Detection of inflammation in kidney biopsies
Accepting submissions
333 16 2024
LEOPARD logo
The LEOPARD Challenge
Accepting submissions for Sanity check
520 304 2024
PANORAMA logo
PANORAMA
Accepting submissions
367 41 2023
DataScientX (N. Debs, A. Routier, et al.; France) algorithm trained on PI-CAI: Private and Public Training Dataset Logo
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 Logo
Deep learning to estimate pulmonary nodule malignancy risk using a current and a prior CT image
Pancreatic Ductal Adenocarcinoma Detection in CT Logo
Pancreatic Ductal Adenocarcinoma Detection in CT
Lung nodule detection for routine clinical CT scans Logo
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
  • 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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