Perelman School of Medicine at the University of Pennsylvania

Section for Biomedical Image Analysis (SBIA)

participating with CBICA

Multimodal Brain Tumor Segmentation Challenge 2018

• Scope • Relevance • Tasks • Data • Evaluation • Participation Summary • Data Request • Previous BraTS • People •

Scope

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 2018 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’18 also focuses on the prediction of patient overall survival, via integrative analyses of radiomic features and machine learning algorithms.

 

IMPORTANT DATES:
30 Apr
1 Jul
14 Jul
30 Jul-20 Aug
30 Aug
16 Sep
1 Nov

 


Release of training datasets. — Request the data here!
Release of validation datasets. — View the Leaderboard
Submission of short papers, reporting proposed method & preliminary results.
Release of testing datasets for 48hr window (& performance evaluation).
Contacting top performing methods for preparing slides for oral presentation.
Challenge at MICCAI (Granada, Spain) — View the Pre-conference Proceedings
Extended LNCS paper submission deadline.

View the arXiv version of the manuscript summarizing BraTS 2018

BraTS 2018 runs in conjunction with the MICCAI 2018 conference, on Sep.16, as part of the full-day BrainLes Workshop.

The 3 top-ranked participating teams of each task of BraTS 2018, will be receiving monetary prizes of total value of $5,000 — sponsored by Intel AI.

 Feel free to send any communication related to the BraTS challenge in brats2018@cbica.upenn.edu.

Fig.1: Glioma sub-regions. Shown are image patches with the tumor sub-regions that are annotated in the different modalities (top left) and the final labels for the whole dataset (right). The image patches show from left to right: the whole tumor (yellow) visible in T2-FLAIR (Fig.A), the tumor core (red) visible in T2 (Fig.B), the enhancing tumor structures (light blue) visible in T1Gd, surrounding the cystic/necrotic components of the core (green) (Fig. C). The segmentations are combined to generate the final labels of the tumor sub-regions (Fig.D): edema (yellow), non-enhancing solid core (red), necrotic/cystic core (green), enhancing core (blue). (Figure taken from the BraTS IEEE TMI paper.)

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