Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge

Adam E Flanders1, Luciano M Prevedello1, George Shih1

  • 1Department of Radiology/Division of Neuroradiology, Thomas Jefferson University Hospital, 132 S Tenth St, Suite 1080B Main Building, Philadelphia, PA 19107 (A.E.F.); Department of Radiology, The Ohio State University, Columbus, Ohio (L.M.P.); Department of Radiology, Weill Cornell Medical College, New York, NY (G.S.); Department of Radiology, Stanford University, Stanford, Calif (S.S.H.); Department of Radiology and Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Mass (J.K.); Quantitative Sciences Unit, Stanford University, Stanford, Calif (R.B.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (J.T.M.); MD.ai, New York, NY (A.S.); Department of Diagnostic Imaging, Universidade Federal de São Paulo, São Paulo, Brazil (F.C.K.); Department of Radiology, Stanford University, Stanford, Calif (M.P.L.); Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (G.C.); Faculty of Health and Medical Sciences, University of Western Australia, Perth, Australia (L. Cala); Advanced Diagnostic Imaging, Clínica DAPI, Curitiba, Brazil (L. Coelho); Department of Radiology, University of Washington, Seattle, Wash (M.M.); Department of Radiology, Baylor College of Medicine, Houston, Tex (F.M., C.L.); Department of Radiology, University of Ottawa, Ottawa, Canada (E.M.); Department of Radiology & Biomedical Imaging, Yale University, New Haven, Conn (I.I., V.Z.); Department of Medical Imaging, Gold Coast University Hospital, Southport, Australia (O.M.); Department of Neuroradiology, University of Utah Health Sciences Center, Salt Lake City, Utah (L.S.); Department of Radiology and Medical Imaging, University of Virginia Health, Charlottesville, Va (D.J.); Division of Neuroradiology, University of Texas Southwestern Medical Center, Dallas, Tex (A.A.); Department of Radiology, Albert Einstein Healthcare Network, Philadelphia, Pa (R.K.L.); and Department of Radiology, SUNY Downstate Medical Center, Albany, NY (J.N.).

Summary

This dataset provides annotations for five common brain hemorrhage subtypes found on CT scans. These include subarachnoid, intraventricular, subdural, epidural, and intraparenchymal hemorrhage for improved diagnostics.

Related Concept Videos