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The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)

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Is a
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Academic paper
0

Academic Paper attributes

arXiv ID
2305.170330
arXiv Classification
Electrical engineering
Electrical engineering
0
Publication URL
arxiv.org/pdf/2305.1...33.pdf0
Publisher
ArXiv
ArXiv
0
DOI
doi.org/10.48550/ar...05.170330
Paid/Free
Free0
Academic Discipline
‌
Quantitative biology
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Electrical engineering
Electrical engineering
0
Machine learning
Machine learning
0
Computer science
Computer science
0
Computer Vision
Computer Vision
0
Submission Date
July 7, 2023
0
May 26, 2023
0
Author Names
Peter de Blank0
Verena Chung0
Walter Wiggins0
Wenxin Tu0
Xinyang Liu0
Zachary Reitman0
Zeke Meier0
Zhifan Jiang0
...
Paper abstract

Pediatric tumors of the central nervous system are the most common cause of cancer-related death in children. The five-year survival rate for high-grade gliomas in children is less than 20%. Due to their rarity, the diagnosis of these entities is often delayed, their treatment is mainly based on historic treatment concepts, and clinical trials require multi-institutional collaborations. The MICCAI Brain Tumor Segmentation (BraTS) Challenge is a landmark community benchmark event with a successful history of 12 years of resource creation for the segmentation and analysis of adult glioma. Here we present the CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs 2023 challenge, which represents the first BraTS challenge focused on pediatric brain tumors with data acquired across multiple international consortia dedicated to pediatric neuro-oncology and clinical trials. The BraTS-PEDs 2023 challenge focuses on benchmarking the development of volumentric segmentation algorithms for pediatric brain glioma through standardized quantitative performance evaluation metrics utilized across the BraTS 2023 cluster of challenges. Models gaining knowledge from the BraTS-PEDs multi-parametric structural MRI (mpMRI) training data will be evaluated on separate validation and unseen test mpMRI dataof high-grade pediatric glioma. The CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs 2023 challenge brings together clinicians and AI/imaging scientists to lead to faster development of automated segmentation techniques that could benefit clinical trials, and ultimately the care of children with brain tumors.

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