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Validation of Machine Learning-Based Automated Surgical Instrument Annotation Using Publicly Available Intraoperative Video.
Markarian, Nicholas; Kugener, Guillaume; Pangal, Dhiraj J; Unadkat, Vyom; Sinha, Aditya; Zhu, Yichao; Roshannai, Arman; Chan, Justin; Hung, Andrew J; Wrobel, Bozena B; Anandkumar, Animashree; Zada, Gabriel; Donoho, Daniel A.
Afiliación
  • Markarian N; Department of Neurosurgery, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
  • Kugener G; Department of Neurosurgery, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
  • Pangal DJ; Department of Neurosurgery, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
  • Unadkat V; Department of Computer Science, Viterbi School of Engineering, University of Southern California, Los Angeles, California, USA.
  • Sinha A; Google Inc., Mountain View, California, USA.
  • Zhu Y; Department of Computer Science, Viterbi School of Engineering, University of Southern California, Los Angeles, California, USA.
  • Roshannai A; Department of Computer Science, Viterbi School of Engineering, University of Southern California, Los Angeles, California, USA.
  • Chan J; Department of Neurosurgery, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
  • Hung AJ; Center for Robotic Simulation and Education, USC Institute of Urology, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA.
  • Wrobel BB; Department of Neurosurgery, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
  • Anandkumar A; USC Caruso Department of Otolaryngology-Head and Neck Surgery, University of Southern California, Los Angeles, California, USA.
  • Zada G; Department of Computing + Mathematical Sciences, California Institute of Technology, Pasadena, California, USA.
  • Donoho DA; Department of Neurosurgery, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Oper Neurosurg (Hagerstown) ; 23(3): 235-240, 2022 09 01.
Article en En | MEDLINE | ID: mdl-35972087
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Texto completo: 1 Colección: 01-internacional Asunto principal: Instrumentos Quirúrgicos / Aprendizaje Automático Tipo de estudio: Guideline Límite: Humans Idioma: En Revista: Oper Neurosurg (Hagerstown) Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Asunto principal: Instrumentos Quirúrgicos / Aprendizaje Automático Tipo de estudio: Guideline Límite: Humans Idioma: En Revista: Oper Neurosurg (Hagerstown) Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos