The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

In this paper we report the set-up and results of the Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) organized in conjunction with the MICCAI 2012 and 2013 conferences. Twenty state-of-the-art tumor segmentation algorithms were applied to a set of 65 multi-contrast MR scans of low- and high-grade glioma patients-manually annotated by up to four raters-and to 65 comparable scans generated using tumor image simulation software. Quantitative evaluations revealed considerable disagreement between the human raters in segmenting various tumor sub-regions (Dice scores in the range 74%-85%), illustrating the difficulty of this task. We found that different algorithms worked best for different sub-regions…

• NS
  National Science Foundation
• EC
  European Commission
• AO
  Academy of Finland
• T
  Tekes
• L
  Lundbeckfonden
• KS
  Krebsliga Schweiz
• TU
  Technische Universität München
• NI
  National Institutes of Health
• FP
  Fundação para a Ciência e a Tecnologia
• NC
  National Cancer Institute
• NI
  National Institute of Biomedical Imaging and Bioengineering
• NC
  National Center for Research Resources