OMERACT validation of a deep learning algorithm for automated absolute quantification of knee joint effusion versus manual semi-quantitative assessment.

Abstract

Authors

• Banafshe Felfeliyan
  Biomedical Engineering, Schulich School of Engineering, University of Calgary, Canada.
• Stephanie Wichuk
  Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Canada.
• Abhilash R Hareendranathan
• Robert G Lambert
  From the Institute for Radiology (K.K.B., L.C.A., K.G.A.H., T.D., S.M.N., B.H., J.L.V.) and Department of Gastroenterology, Infectious Diseases and Rheumatology (including Nutrition Medicine) (F.P., L.S., M.P., V.R.R., H.H., J.R., M.T., D.P.), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Hindenburgdamm 30, 12203 Berlin, Germany; Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany (K.K.B., L.C.A., J.R.); Department of Diagnostic and Interventional Radiology, Faculty of Medicine, Technical University of Munich, Munich, Germany (M.R.M.); Department of Medicine, University of Alberta, Edmonton, Alberta, Canada (R.G.L., W.P.M.); Rheumazentrum Ruhrgebiet Herne, Ruhr University Bochum, Germany (X.B.); and Epidemiology Unit, German Rheumatism Research Centre, Berlin, Germany (D.P.).
• Walter P Maksymowych
  Department of Medicine, University of Alberta, Canada.
• Jacob Jaremko
  University of Alberta, Canada.

Keywords

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