Brain Tumor AI Challenge (2021)

This competition, organized in partnership with the American Society of Neuroradiology (ASNR) and the Medical Image Computing and Computer Assisted Interventions (MICCAI) Society, focuses on brain tumor detection and classification, utilizing multi-parametric magnetic resonance imaging (mpMRI) scans. It represents the culmination of a decade of Brain Tumor Segmentation (BraTS) challenges, offering a large and diverse dataset with detailed annotations and an important associated biomarker.

How the challenge works

The Brain Tumor AI Challenge is comprised of two tasks related to brain tumor detection and classification. Participants may choose to compete in one or both.

Task 1: Brain Tumor Segmentation

Participants build models that produce detailed segmentations of brain tumor sub-regions that correspond to those created by neuroradiologists. Such segmentations could enable improvements in computer-assisted surgery, radiotherapy guidance and disease progression monitoring.


Task 2: Brain Tumor Radiogenomic Classification

Participants build models that use mpMRI imaging to predict MGMT promoter methylation status. Such radiogenomic models could improve the efficiency and accuracy of diagnosis, prognosis and treatment planning for patients with glioblastoma.


Challenge prizes
  • 1st: $6,000
  • 2nd: $5,000
  • 3rd: $4,000
  • 4th-8th: $3,000 each
Challenge timeline
  • July 13: Both challenge tasks launch
  • October 15: Final model submission
  • November 23: Winners announced

Winners will be recognized at an event in the RSNA AI Theater at RSNA 2021 on Monday, November 29.


Prize money for the top entries in each task is provided by Intel, NeoSoma and RSNA.