放射外科
医学
流体衰减反转恢复
对比度(视觉)
颅骨
无线电技术
放射科
胶质母细胞瘤
医学物理学
人口统计学的
核医学
磁共振成像
计算机科学
人工智能
外科
放射治疗
人口学
癌症研究
社会学
作者
Jeffrey D. Rudie,Rachit Saluja,David Weiß,Nicolas Pierre,Evan Calabrese,John B. Colby,Benjamin Laguna,John Mongan,Steve Braunstein,Christopher P. Hess,Andreas M. Rauschecker,Leo P. Sugrue,Javier Villanueva-Meyer
出处
期刊:Cornell University - arXiv
日期:2023-01-01
标识
DOI:10.48550/arxiv.2304.07248
摘要
The University of California San Francisco Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) dataset is a public, clinical, multimodal brain MRI dataset consisting of 560 brain MRIs from 412 patients with expert annotations of 5136 brain metastases. Data consists of registered and skull stripped T1 post-contrast, T1 pre-contrast, FLAIR and subtraction (T1 pre-contrast - T1 post-contrast) images and voxelwise segmentations of enhancing brain metastases in NifTI format. The dataset also includes patient demographics, surgical status and primary cancer types. The UCSF-BSMR has been made publicly available in the hopes that researchers will use these data to push the boundaries of AI applications for brain metastases.
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