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Machine Learning Classification of Body Part, Imaging Axis, and Intravenous Contrast Enhancement on CT Imaging.
Li, Wuqi; Lin, Hui Ming; Lin, Amy; Napoleone, Marc; Moreland, Robert; Murari, Alexis; Stepanov, Maxim; Ivanov, Eric; Prasad, Abhinav Sanjeeva; Shih, George; Hu, Zixuan; Zulbayar, Suvd; Sejdic, Ervin; Colak, Errol.
Affiliation
  • Li W; The Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada.
  • Lin HM; Department of Medical Imaging, Unity Health Toronto, Toronto, ON, Canada.
  • Lin A; Department of Medical Imaging, Unity Health Toronto, Toronto, ON, Canada.
  • Napoleone M; Department of Medical Imaging, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
  • Moreland R; Department of Medical Imaging, Unity Health Toronto, Toronto, ON, Canada.
  • Murari A; Department of Medical Imaging, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
  • Stepanov M; Department of Medical Imaging, Unity Health Toronto, Toronto, ON, Canada.
  • Ivanov E; Department of Medical Imaging, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
  • Prasad AS; The Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada.
  • Shih G; The Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada.
  • Hu Z; The Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada.
  • Zulbayar S; The Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada.
  • Sejdic E; Department of Radiology, Weill Cornell Medicine, New York, NY, USA.
  • Colak E; The Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada.
Can Assoc Radiol J ; 75(1): 82-91, 2024 Feb.
Article in En | MEDLINE | ID: mdl-37439250
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Type of study: Observational_studies Limits: Female / Humans / Male / Middle aged Language: En Journal: Can Assoc Radiol J Journal subject: RADIOLOGIA Year: 2024 Document type: Article Affiliation country: Canadá
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Type of study: Observational_studies Limits: Female / Humans / Male / Middle aged Language: En Journal: Can Assoc Radiol J Journal subject: RADIOLOGIA Year: 2024 Document type: Article Affiliation country: Canadá