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Deep Learning in Radiology.
McBee, Morgan P; Awan, Omer A; Colucci, Andrew T; Ghobadi, Comeron W; Kadom, Nadja; Kansagra, Akash P; Tridandapani, Srini; Auffermann, William F.
Afiliación
  • McBee MP; Department of Radiology and Medical Imaging, Cincinnati Children's Hospital, Cincinnati, Ohio.
  • Awan OA; Department of Radiology, Temple University Hospital, Philadelphia, Pennsylvania.
  • Colucci AT; Department of Radiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
  • Ghobadi CW; Department of Radiology, University of Chicago, Chicago, Illinois.
  • Kadom N; Department of Radiology and Imaging Sciences, Children's Healthcare of Atlanta (Egleston), Emory University School of Medicine, Atlanta, Georgia.
  • Kansagra AP; Mallinckrodt Institute of Radiology and Departments of Neurological Surgery and Neurology, Washington University School of Medicine, Saint Louis, Missouri.
  • Tridandapani S; Department of Radiology and Imaging Sciences, Emory University School of Medicine, Electrical & Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia.
  • Auffermann WF; Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1365 Clifton Road NE, Atlanta, GA 30322. Electronic address: william.auffermann@hsc.utah.edu.
Acad Radiol ; 25(11): 1472-1480, 2018 11.
Article en En | MEDLINE | ID: mdl-29606338
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Radiología / Aprendizaje Profundo Aspecto: Ethics Límite: Humans Idioma: En Revista: Acad Radiol Asunto de la revista: RADIOLOGIA Año: 2018 Tipo del documento: Article
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Radiología / Aprendizaje Profundo Aspecto: Ethics Límite: Humans Idioma: En Revista: Acad Radiol Asunto de la revista: RADIOLOGIA Año: 2018 Tipo del documento: Article