Brain Tumor Segmentation (BraTS) Challenge 2020: Scope

Scope RelevanceTasks & EvaluationDataParticipation DetailsRegistrationPrevious BraTSPeople

18 May
26 Jun
25 Jul
17-28 Aug
4 Sep
4 Oct
15 Nov

 (All deadlines are for 23:59 Eastern Time)
Release of training data. (Data details here)
Release of validation data.  (Leaderboard TBA)
Submission of short papers (Details)
Release of testing data & 48hr evaluation. (Only for submitted papers)
Contacting top-ranked methods for preparing slides for oral presentation.
Challenge at MICCAI (Peru).
Extended LNCS paper submission deadline.


BraTS has always been focusing on the evaluation of state-of-the-art methods for the segmentation of brain tumors in multimodal magnetic resonance imaging (MRI) scans. BraTS 2020 utilizes multi-institutional pre-operative MRI scans and primarily focuses on the segmentation (Task 1) of intrinsically heterogeneous (in appearance, shape, and histology) brain tumors, namely gliomas. Furthemore, to pinpoint the clinical relevance of this segmentation task, BraTS’20 also focuses on the prediction of patient overall survival (Task 2), and the distinction between pseudoprogression and true tumor recurrence (Task 3), via integrative analyses of radiomic features and machine learning algorithms. Finally, BraTS'20 intends to evaluate the algorithmic uncertainty in tumor segmentations (Task 4).

The top-ranked participating teams will received monetary prizes of total value of $5,000 — sponsored by Intel AI.

BraTS 2020 runs in conjunction with the MICCAI 2020 conference, on Oct.4, 2020, as part of the full-day BrainLes Workshop.



Feel free to send any communication related to the BraTS challenge to