@article{cc8dcd4ed61d4c2d92735bc2d5b63818,
title = "The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.4 Million Screening and Diagnostic Mammographic Images",
abstract = "The EMory BrEast imaging Dataset (EMBED) contains two-dimensional and digital breast tomosynthesis screening and diagnostic mammograms with lesion-level annotations and pathologic information in racially diverse patients.",
keywords = "Breast, Machine Learning, Mammography",
author = "Jeong, {Jiwoong J.} and Vey, {Brianna L.} and Ananth Bhimireddy and Thomas Kim and Thiago Santos and Ramon Correa and Raman Dutt and Marina Mosunjac and Gabriela Oprea-Ilies and Geoffrey Smith and Minjae Woo and McAdams, {Christopher R.} and Newell, {Mary S.} and Imon Banerjee and Judy Gichoya and Hari Trivedi",
note = "Publisher Copyright: {\textcopyright} 2023 Radiological Society of North America.",
year = "2023",
month = jan,
doi = "10.1148/ryai.220047",
language = "English (US)",
volume = "5",
journal = "Radiology: Artificial Intelligence",
issn = "2638-6100",
publisher = "Radiological Society of North America Inc.",
number = "1",
}