The BraTS-Africa Dataset: Expanding the Brain Tumor Segmentation Data to Capture African Populations
The Brain Tumor Segmentation–Africa dataset is the first annotated publicly available brain imaging dataset from an African population; it contains three-dimensional MRI scans, retrospectively acquired from institutions in Nigeria, in 146 adult patients with preoperative brain tumors.
Authors
- Bjoern Menze (ORCID: https://orcid.org/0000-0003-4136-5690)
- O. Omidiji (ORCID: https://orcid.org/0000-0002-9656-2037)
- Udunna Anazodo (ORCID: https://orcid.org/0000-0001-8864-035X)
- Farouk Dako (ORCID: https://orcid.org/0000-0003-4765-9358)
- Ujjwal Baid (ORCID: https://orcid.org/0000-0001-5246-2088)
- Abiodun Fatade
- Spyridon Bakas (ORCID: https://orcid.org/0000-0001-8734-6482)
- S. Abba (ORCID: https://orcid.org/0000-0003-2821-0213)
- Jeffrey D. Rudie (ORCID: https://orcid.org/0000-0001-8609-8421)
- Jasmine D. Cakmak (ORCID: https://orcid.org/0000-0002-5197-234X)
- Maruf Adewole (ORCID: https://orcid.org/0000-0002-6562-2834)
- Kator Paul Iorpagher
- Confidence Raymond (ORCID: https://orcid.org/0000-0003-3927-9697)
- Kenneth Aguh
- Chinasa Kalaiwo (ORCID: https://orcid.org/0000-0002-7325-1607)
- Gabriel Babatunde
- Yewande Gbadamosi (ORCID: https://orcid.org/0009-0002-7058-4905)
- Rachel Akinola
- Dong Zhang (ORCID: https://orcid.org/0000-0002-2948-1384)
- Afolabi Ogunleye (ORCID: https://orcid.org/0009-0001-3270-7735)
- Oluyemisi Toyobo
- Nancy Ojo (ORCID: https://orcid.org/0009-0002-8240-5847)
- Anu Gbadamosi (ORCID: https://orcid.org/0000-0003-2032-7839)
- Adaobi Emegoakor (ORCID: https://orcid.org/0009-0008-2874-6708)
- Mayomi Onuwaje
- Bamidele Betiku
- James Ajigbotoshso
Institutions
- Montreal Neurological Institute and Hospital (CA)
- Lawson Health Research Institute (CA)
- University of British Columbia (CA)
- Benue State University (NG)
- University of Lagos (NG)
- University of Zurich (CH)
- Lagos University Teaching Hospital (NG)
- University of California San Diego (US)
- National Hospital Abuja (NG)
- Development Research and Projects Centre (NG)
- Federal Medical Centre (NG)
- Lagos State University Teaching Hospital (NG)
- Federal Medical Centre (NG)
- Nnamdi Azikiwe University Teaching Hospital (NG)
- McGill University (CA)
- Indiana University – Purdue University Indianapolis (US)
- University of Pennsylvania (US)
Publication Details
- Journal
- Radiology Artificial Intelligence
- Published
- 2025-04-16
- DOI
- https://doi.org/10.1148/ryai.240528
- Citations
- 5
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 6.80