Multimodal Brain Tumor Segmentation Challenge 2019

Scope RelevanceTasksDataEvaluationParticipation SummaryRegistrationPrevious BraTSPeople

10 June
15 Jul
18 Aug
26 Aug - 7 Sep
20 Sep
17 Oct
15 Nov

 (All deadlines are for 23:59 Eastern Time)
Release of training data.
Release of validation data.  (Access the leaderboard here!)
Submission of short papers, reporting method & preliminary results. (Details)
Release of testing data & evaluation within 48hrs. (Only for submitted papers)
Contacting top performing methods for preparing slides for oral presentation.
Challenge at MICCAI (China). (See the top-ranked teams!)
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 2019 utilizes multi-institutional pre-operative MRI scans and focuses on the segmentation of intrinsically heterogeneous (in appearance, shape, and histology) brain tumors, namely gliomas. Furthemore, to pinpoint the clinical relevance of this segmentation task, BraTS’19 also focuses on the prediction of patient overall survival, via integrative analyses of radiomic features and machine learning algorithms. Finally, BraTS'19 intends to experimentally evaluate the uncertainty in tumor segmentations.

The top-ranked participating teams of the segmentation and survival prediction task of BraTS 2019, received monetary prizes of total value of $5,000 — sponsored by Intel AI.

BraTS 2019 runs in conjunction with the MICCAI 2019 conference, on Oct.17, as part of the full-day BrainLes Workshop.



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