Multimodal Brain Tumor Segmentation Challenge (BraTS 2019)

You are here

Top Reasons to Join SPS Today!

1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.

Multimodal Brain Tumor Segmentation Challenge (BraTS 2019)

2019

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.

Technical Committee: Bio Imaging and Signal Processing

SPS on Twitter

  • New SPS Webinar! On Friday, 29 October, join Dr. Jérôme Gilles for "Empirical Wavelets," based on his original arti… https://t.co/ZuZ7qwO9Pc
  • The Brain Space Initiative Talk Series continues on Friday, 29 October when Dr. Selin Aviyente presents "Cross-Freq… https://t.co/Jxgu2soJCc
  • Join the Brain Space Initiative for another virtual mixing event on Wednesday, 27 October! Grab a coffee and meet w… https://t.co/KA3kuPUGw0
  • We're proud to sponsor a new journal, IEEE Transactions on Quantum Engineering, publishing regular, review, and tut… https://t.co/cZskrh9cvX
  • We are now seeking mentors and students for the launch of a new initiative, Mentoring Experiences for Underrepresen… https://t.co/i9SarNyKm9

SPS Videos


Signal Processing in Home Assistants

 


Multimedia Forensics


Careers in Signal Processing             

 


Under the Radar