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The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.4 Million Screening and

Jiwoong J Jeong1, Brianna L Vey1, Ananth Bhimireddy1

  • 1School of Computing and Augmented Intelligence, Arizona State University, 699 S Mill Ave, Tempe, AZ 85281 (J.J.J., R.C., I.B.); Departments of Radiology (B.L.V., A.B., R.D., C.R.M., M.S.N., J.G., H.T.), Computer Science (T.S.), and Pathology (M.M., G.O., G.S.), Emory University, Atlanta, Ga; College of Computing, Georgia Institute of Technology, Atlanta, Ga (T.K.); and School of Data Science and Analytics, Kennesaw State University, Kennesaw, Ga (M.W.).

Radiology. Artificial Intelligence
|February 1, 2023
PubMed

Keywords:
BreastMachine LearningMammographyartificial intelligencehealth equitydiagnostic radiologyclinical informatics

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