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Assessing the Performance of Models from the 2022 RSNA Cervical Spine Fracture Detection Competition at a Level I Trauma Center.

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第一作者： Zixuan,Hu

第一单位： From the Edward S. Rogers Department of Electrical and Computer Engineering (Z.H., W.L., E.S.), Department of Medical Imaging, Faculty of Medicine (M.P., S.M., R.M., E.C.), Faculty of Medicine (M.N., J.W., C.W.), and Division of Neurosurgery, Department of Surgery (J.W., C.W.), University of Toronto, 40 St George St, Toronto, ON, Canada M5S 3G4; Department of Medical Imaging (H.M.L., M.N., S.M., R.M., E.C.) and Li Ka Shing Knowledge Institute (S.M., J.W., C.W., E.C.), St Michael's Hospital, Unity Health Toronto, Toronto, Canada; The Jackson Laboratory, Bar Harbor, Maine (R.L.B.); Standard School of Medicine, Stanford University, Stanford, Calif (K.W.Y.); H2O.ai, Mountain View, Calif (Q.H., P.S., P.P.); School of Computer Science, University of Birmingham, Birmingham, UK (H.C.); DoubleYard, Edulab Group, Boston, Ireland (D.H.); Mapbox, London, UK (S.S.); NVIDIA, Santa Clara, Calif (C.H.); Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (I.P.); University of London, Goldsmiths, London, UK (H.S.); Department of Radiology, The Ohio State University, Columbus, Ohio (L.M.P.); Department of Radiology, Division of Neuroradiology, Thomas Jefferson University, Philadelphia, Pa (A.E.F.); Universidade Federal de São Paulo (Unifesp), São Paulo, Brazil (F.C.K.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (J.T.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (T.R.); and North York General Hospital, Toronto, Canada (E.S.).

作者： Zixuan,Hu ^[1] ; Markand,Patel ^[1] ; Robyn L,Ball ^[1] ; Hui Ming,Lin ^[1] ; Luciano M,Prevedello ^[1] ; Mitra,Naseri ^[1] ; Shobhit,Mathur ^[1] ; Robert,Moreland ^[1] ; Jefferson,Wilson ^[1] ; Christopher,Witiw ^[1] ; Kristen W,Yeom ^[1] ; Qishen,Ha ^[1] ; Darragh,Hanley ^[1] ; Selim,Seferbekov ^[1] ; Hao,Chen ^[1] ; Philipp,Singer ^[1] ; Christof,Henkel ^[1] ; Pascal,Pfeiffer ^[1] ; Ian,Pan ^[1] ; Harshit,Sheoran ^[1] ; Wuqi,Li ^[1] ; Adam E,Flanders ^[1] ; Felipe C,Kitamura ^[1] ; Tyler,Richards ^[1] ; Jason,Talbott ^[1] ; Ervin,Sejdić ^[1] ; Errol,Colak ^[1]

作者单位： From the Edward S. Rogers Department of Electrical and Computer Engineering (Z.H., W.L., E.S.), Department of Medical Imaging, Faculty of Medicine (M.P., S.M., R.M., E.C.), Faculty of Medicine (M.N., J.W., C.W.), and Division of Neurosurgery, Department of Surgery (J.W., C.W.), University of Toronto, 40 St George St, Toronto, ON, Canada M5S 3G4; Department of Medical Imaging (H.M.L., M.N., S.M., R.M., E.C.) and Li Ka Shing Knowledge Institute (S.M., J.W., C.W., E.C.), St Michael's Hospital, Unity Health Toronto, Toronto, Canada; The Jackson Laboratory, Bar Harbor, Maine (R.L.B.); Standard School of Medicine, Stanford University, Stanford, Calif (K.W.Y.); H2O.ai, Mountain View, Calif (Q.H., P.S., P.P.); School of Computer Science, University of Birmingham, Birmingham, UK (H.C.); DoubleYard, Edulab Group, Boston, Ireland (D.H.); Mapbox, London, UK (S.S.); NVIDIA, Santa Clara, Calif (C.H.); Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (I.P.); University of London, Goldsmiths, London, UK (H.S.); Department of Radiology, The Ohio State University, Columbus, Ohio (L.M.P.); Department of Radiology, Division of Neuroradiology, Thomas Jefferson University, Philadelphia, Pa (A.E.F.); Universidade Federal de São Paulo (Unifesp), São Paulo, Brazil (F.C.K.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (J.T.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (T.R.); and North York General Hospital, Toronto, Canada (E.S.). ^[1]

关键词 CT Convolutional Neural Network (CNN)Feature Detection Genetic Algorithms Head/Neck Spine Supervised Learning Technology Assessment