Comparison of deep learning models for natural language processing-based classification of non-English head CT reports.

Abstract

Authors

• Yiftach Barash
  Department of Diagnostic Imaging, Chaim Sheba Medical Center, Tel Hashomer, Israel.
• Gennadiy Guralnik
  Sackler School of Medicine, Tel Aviv University, Einstein St 68, Tel Aviv, Israel.
• Noam Tau
  Joint Department of Medical Imaging, Princess Margaret Cancer Centre, University Health Network, Mount Sinai Hospital and Women's College Hospital, University of Toronto, 610 University Ave, Ste 3-960, Toronto, ON M5G 2M9, Canada.
• Shelly Soffer
  From the Department of Diagnostic Imaging, Sheba Medical Center, Emek HaEla St 1, Ramat Gan, Israel (S.S., M.M.A., E.K.); Faculty of Engineering, Department of Biomedical Engineering, Medical Image Processing Laboratory, Tel Aviv University, Tel Aviv, Israel (A.B., H.G.); and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel (S.S., O.S.).
• Tal Levy
  DeepVision Lab, Sheba Medical Center, Ramat Gan, Israel.
• Orit Shimon
  From the Department of Diagnostic Imaging, Sheba Medical Center, Emek HaEla St 1, Ramat Gan, Israel (S.S., M.M.A., E.K.); Faculty of Engineering, Department of Biomedical Engineering, Medical Image Processing Laboratory, Tel Aviv University, Tel Aviv, Israel (A.B., H.G.); and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel (S.S., O.S.).
• Eyal Zimlichman
  Sheba Medical Center, Tel Hashomer, Israel.
• Eli Konen
• Eyal Klang
  Division of Data-Driven and Digital Medicine (D3M), Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Keywords

External Resources