Solomon Eddy, Johnson Patricia M, Tan Zhengguo, Tibrewala Radhika, Lui Yvonne W, Knoll Florian, Moy Linda, Kim Sungheon Gene, Heacock Laura
From the Department of Radiology, Weill Cornell Medical College, Cornell University, MRI Research Institute, 407 E 61st St, New York, NY 10065 (E.S., S.G.K.); Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, NY (E.S., P.M.J., R.T., Y.W.L., F.K., L.M., S.G.K., L.H.); and Department Artificial Intelligence in Biomedical Engineering, University Erlangen-Nuremberg, Erlangen, Germany (Z.T., F.K.).
Radiol Artif Intell. 2025 Jan;7(1):e240345. doi: 10.1148/ryai.240345.
The fastMRI breast dataset is the first large-scale dataset of radial k-space and Digital Imaging and Communications in Medicine data for breast dynamic contrast-enhanced MRI with case-level labels, and its public availability aims to advance fast and quantitative machine learning research.
fastMRI乳腺数据集是首个包含病例级标签的用于乳腺动态对比增强磁共振成像的径向k空间和医学数字成像与通信数据的大规模数据集,其公开旨在推动快速和定量机器学习研究。