Multimodal Brain Tumor Segmentation Challenge 2018
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.
30 Jul-20 Aug
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.
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 firstname.lastname@example.org.