Evaluation of a deep learning method for the automated detection of supraspinatus tears on MRI.

Abstract

Authors

• Jason Yao
  Department of Radiology, University of Ottawa Faculty of Medicine, 501 Smyth Road, Box 232, Ottawa, ON, K1H 8L6, Canada. jason.yao21@gmail.com.
• Leonid Chepelev
  Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada.
• Yashmin Nisha
  Department of Radiology, University of Ottawa Faculty of Medicine, 501 Smyth Road, Box 232, Ottawa, ON, K1H 8L6, Canada.
• Paul Sathiadoss
  Department of Radiology, University of Ottawa Faculty of Medicine, 501 Smyth Road, Box 232, Ottawa, ON, K1H 8L6, Canada.
• Frank J Rybicki
  From the Applied Imaging Science Laboratory, Department of Radiology, Brigham and Women's Hospital, 75 Francis St, Boston, MA 02115 (T.C., A.A.G., K.K.K., F.J.R., D.M.); Harvard T.H. Chan School of Public Health, Boston, Mass (S.Y.); and Department of Radiology, Brigham and Women's Hospital, Boston, Mass (T.K., B.R.).
• Adnan M Sheikh
  Department of Radiology, The University of British Columbia Faculty of Medicine, 2775 Laurel Street, Vancouver, BC, V5Z 1M9, Canada.

Keywords

External Resources