加州大学旧金山分校脑转移立体定向放射外科（UCSF-BMSR）磁共振成像数据集。

IF 8.1 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Radiology-Artificial Intelligence Pub Date : 2024-03-01 DOI:10.1148/ryai.230126

Jeffrey D Rudie, Rachit Saluja, David A Weiss, Pierre Nedelec, Evan Calabrese, John B Colby, Benjamin Laguna, John Mongan, Steve Braunstein, Christopher P Hess, Andreas M Rauschecker, Leo P Sugrue, Javier E Villanueva-Meyer

引用次数: 0

摘要

"刚刚接受 "的论文经过同行评审，已被接受在《放射学》上发表：人工智能》上发表。这篇文章在以最终版本发表之前，还将经过校对、排版和校对审核。请注意，在制作最终校对稿的过程中，可能会发现影响内容的错误。公开的加州大学旧金山分校脑转移立体定向放射外科 MRI 数据集包括 412 名患者共 560 张多模态脑 MRI 图像，专家对 5136 个脑转移灶进行了体素标注。©RSNA，2024。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The University of California San Francisco Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset.

Supplemental material is available for this article.

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来源期刊

Radiology-Artificial Intelligence

CiteScore

16.20

自引率

1.00%

发文量

期刊介绍： Radiology: Artificial Intelligence is a bi-monthly publication that focuses on the emerging applications of machine learning and artificial intelligence in the field of imaging across various disciplines. This journal is available online and accepts multiple manuscript types, including Original Research, Technical Developments, Data Resources, Review articles, Editorials, Letters to the Editor and Replies, Special Reports, and AI in Brief.