2026-10-11T22:32:35Z https://www.scidb.cn/oai

10.57760/sciencedb.13880 2024-10-29T09:57:55Z

2024-10-29 annotation of vessels for 271 TOF-MRA volumes doi:10.57760/sciencedb.13880 en We manually annotated 271 (healthy : pathological = 150 : 121) TOF-MRA volumes, including 28,128 slices. This annotated dataset, named CereVessMRA, supports the development of deep learning methods for cerebrovascular segmentation (please also refer to our work: https://github.com/YingChen7/HQA_Cerebrovasculature/blob/data/2_CereVessSeg_CereVessPro/README.md). The 150 annotated healthy TOF-MRA volumes from UK subjects were sourced from three different institutions, as part of the UK-Hset. The 121 annotated pathological TOF-MRA volumes from Chinese subjects were provided by Datian General Hospital in Fujian Province, China. This large-scale and multi-center cerebral arterial annotation dataset facilitated the development of generalizable deep learning models for automatic and precise cerebral arterial segmentation.If you use this dataset, please cite following paper:Guo, B., Chen, Y., Lin, J. et al. Self-supervised learning for accurately modelling hierarchical evolutionary patterns of cerebrovasculature. Nat Commun 15, 9235 (2024). https://doi.org/10.1038/s41467-024-53550-5 MRA ; Vessel Segmentation; Deep Learning Guo Bin Chen Ying Gong Qiyong Bai Xiangzhi PUBLIC https://creativecommons.org/licenses/by-nc/4.0/ dataset http://www.doi.org/10.1038/s41467-024-53550-5 Science Data Bank