Grand Challenge

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

98,000+ users
347  challenges
4,096  algorithms
AutoPET-III logo
AutoPET III
Opening submissions for Preliminary Test Set on Jun 30 2024 at 22:01
190 2024
LEOPARD logo
The LEOPARD Challenge
Not accepting submissions
199 2024
ULS23 logo
Universal Lesion Segmentation Challenge '23
Accepting submissions for Development Phase Leaderboard
672 89 2023
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PANORAMA
Accepting submissions for Development Phase - Dummy
187 1 2023
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
Clinically Significant Prostate Cancer Detection in bpMRI using models trained with Report Guided Annotations Logo
Clinically Significant Prostate Cancer Detection in bpMRI using models trained with Report Guided Annotations
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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