RSNA-ASNR-MICCAI BraTS 2021 脑肿瘤分割与放射基因组分类基准
BraTS 2021脑肿瘤分割与放射基因组分类数据集,含2040例多参数MRI,用于肿瘤子区域分割和MGMT甲基化状态分类。
基本信息
资源简介
该数据集由宾夕法尼亚大学医学中心等机构创建,包含2040例多机构多参数磁共振成像(mpMRI)数据,序列包括T1、T1增强、T2和T2-FLAIR,所有图像经标准化预处理。数据集用于脑肿瘤子区域分割和MGMT启动子甲基化状态分类,旨在提高临床治疗规划和肿瘤生长监测效率。
下载信息
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使用方式
数据集说明
RSNA-ASNR-MICCAI BraTS 2021 脑肿瘤分割与放射基因组分类基准 对应论文数据集(arXiv 预印本)。
数据获取指引
- 打开论文页面获取作者与项目信息:https://arxiv.org/abs/2107.02314v2
- 论文 Data Availability / Code Availability 章节标注了数据实际托管位置;
- 获取到实际数据链接后,按对应平台标准方式下载。
论文摘要:Abstract:The BraTS 2021 challenge celebrates its 10th anniversary and is jointly organized by the Radiological Society of North America (RSNA), the American Society of Neuroradiology (ASNR), and the Medical Image Computing and Computer Assisted Interventions (MICCAI) society. Since its inception, BraTS has been focusing on being a common benchmarking venue for brain glioma segmentation algorithms, with well-curated multi-institutional multi-parametric magnetic resonance imaging (mpMRI) data. Gliomas are the most common primary malignancies of the central nervous system, with varying degrees of aggressiveness and prognosis. The RSNA-ASNR-MICCAI BraTS 2021 challenge targets the evaluation of computational algorithms assessing the same tumor compartmentalization, as well as the underlying tumor's molecular characterization, in pre-operative baseline mpMRI data from 2,040 patients. Specifically, the two tasks that BraTS 2021 focuses on are: a) the segmentation of the histologically distinct brain tumor sub-regions, and b) the classification of the tumor's O[6]-methylguanine-DNA methyltransferase (MGMT) promoter methylation status. The performance evaluation of all participating algorithms in BraTS 2021 will be conducted through the Sage Bionetworks Synapse platform (Task 1) and Kaggle (Task 2), concluding in distributing to the top ranked participants monetary awards of $60,000 collectively.
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当前公开数据无法满足您的算法精度?千方提供针对 脑肿瘤 的高质量、多模态真实临床数据定制解决方案。




