The BraTS-Africa Dataset: Expanding the Brain Tumor Segmentation Data to Capture African Populations.

IF 13.2 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Radiology-Artificial Intelligence Pub Date : 2025-07-01 DOI:10.1148/ryai.240528

Maruf Adewole, Jeffrey D Rudie, Anu Gbadamosi, Dong Zhang, Confidence Raymond, James Ajigbotoshso, Oluyemisi Toyobo, Kenneth Aguh, Olubukola Omidiji, Rachel Akinola, Mohammad Abba Suwaid, Adaobi Emegoakor, Nancy Ojo, Chinasa Kalaiwo, Gabriel Babatunde, Afolabi Ogunleye, Yewande Gbadamosi, Kator Iorpagher, Mayomi Onuwaje, Bamidele Betiku, Jasmine Cakmak, Björn Menze, Ujjwal Baid, Spyridon Bakas, Farouk Dako, Abiodun Fatade, Udunna C Anazodo

引用次数: 0

查看原文本刊更多论文

BraTS- africa数据集：扩展脑肿瘤分割（BraTS）数据以捕获非洲人口。

“刚刚接受”的论文经过了全面的同行评审，并已被接受发表在《放射学：人工智能》杂志上。这篇文章将经过编辑，布局和校样审查，然后在其最终版本出版。请注意，在最终编辑文章的制作过程中，可能会发现可能影响内容的错误。BraTS-Africa数据集是第一个来自非洲人口的注释公开可用的脑成像数据集。它包含从尼日利亚各机构回顾性获得的146例术前脑肿瘤成年患者的三维MRI扫描。©RSNA, 2025年。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

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.