pith. sign in

arxiv: 2407.08855 · v3 · pith:6F6P2OJDnew · submitted 2024-07-11 · 📡 eess.IV · cs.CV

BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023

Anahita Fathi Kazerooni , Nastaran Khalili , Xinyang Liu , Debanjan Haldar , Zhifan Jiang , Anna Zapaishchykova , Julija Pavaine , Lubdha M. Shah
show 72 more authors
Blaise V. Jones Nakul Sheth Sanjay P. Prabhu Aaron S. McAllister Wenxin Tu Khanak K. Nandolia Andres F. Rodriguez Ibraheem Salman Shaikh Mariana Sanchez Montano Hollie Anne Lai Maruf Adewole Jake Albrecht Udunna Anazodo Hannah Anderson Syed Muhammed Anwar Alejandro Aristizabal Sina Bagheri Ujjwal Baid Timothy Bergquist Austin J. Borja Evan Calabrese Verena Chung Gian-Marco Conte James Eddy Ivan Ezhov Ariana M. Familiar Keyvan Farahani Deep Gandhi Anurag Gottipati Shuvanjan Haldar Juan Eugenio Iglesias Anastasia Janas Elaine Elaine Alexandros Karargyris Hasan Kassem Neda Khalili Florian Kofler Dominic LaBella Koen Van Leemput Hongwei B. Li Nazanin Maleki Zeke Meier Bjoern Menze Ahmed W. Moawad Sarthak Pati Marie Piraud Tina Poussaint Zachary J. Reitman Jeffrey D. Rudie Rachit Saluja MIcah Sheller Russell Takeshi Shinohara Karthik Viswanathan Chunhao Wang Benedikt Wiestler Walter F. Wiggins Christos Davatzikos Phillip B. Storm Miriam Bornhorst Roger Packer Trent Hummel Peter de Blank Lindsey Hoffman Mariam Aboian Ali Nabavizadeh Jeffrey B. Ware Benjamin H. Kann Brian Rood Adam Resnick Spyridon Bakas Arastoo Vossough Marius George Linguraru
This is my paper
classification 📡 eess.IV cs.CV
keywords pediatricbrainchallengebrats-pedschildrenclinicalsegmentationtrials
0
0 comments X
read the original abstract

Pediatric central nervous system tumors are the leading cause of cancer-related deaths in children. The five-year survival rate for high-grade glioma in children is less than 20%. The development of new treatments is dependent upon multi-institutional collaborative clinical trials requiring reproducible and accurate centralized response assessment. We present the results of the BraTS-PEDs 2023 challenge, the first Brain Tumor Segmentation (BraTS) challenge focused on pediatric brain tumors. This challenge utilized data acquired from multiple international consortia dedicated to pediatric neuro-oncology and clinical trials. BraTS-PEDs 2023 aimed to evaluate volumetric segmentation algorithms for pediatric brain gliomas from magnetic resonance imaging using standardized quantitative performance evaluation metrics employed across the BraTS 2023 challenges. The top-performing AI approaches for pediatric tumor analysis included ensembles of nnU-Net and Swin UNETR, Auto3DSeg, or nnU-Net with a self-supervised framework. The BraTSPEDs 2023 challenge fostered collaboration between clinicians (neuro-oncologists, neuroradiologists) and AI/imaging scientists, promoting faster data sharing and the development of automated volumetric analysis techniques. These advancements could significantly benefit clinical trials and improve the care of children with brain tumors.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. VISTA: Variance-Gated Inter-Sequence Test-Time Adaptation for Multi-Sequence MRI Segmentation

    cs.CV 2026-05 conditional novelty 7.0

    VISTA is a source-free TTA framework for multi-sequence MRI segmentation that uses inter-sequence spectral/patch interventions and cross-view variance gating to handle modality-interaction shifts, reporting Dice gains...

  2. VISTA: Variance-Gated Inter-Sequence Test-Time Adaptation for Multi-Sequence MRI Segmentation

    cs.CV 2026-05 unverdicted novelty 6.0

    VISTA is a test-time adaptation framework for multi-sequence MRI that uses inter-sequence intervention probes and cross-view disagreement variance to gate self-training, yielding Dice gains of +1.89% on low-field Afri...