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Ensuring privacy protection in the era of big laparoscopic video data: development and validation of an inside outside discrimination algorithm (IODA).
Schulze, A; Tran, D; Daum, M T J; Kisilenko, A; Maier-Hein, L; Speidel, S; Distler, M; Weitz, J; Müller-Stich, B P; Bodenstedt, S; Wagner, M.
Afiliación
  • Schulze A; Department for General, Visceral and Transplant Surgery, Heidelberg University Hospital, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
  • Tran D; National Center for Tumor Diseases, Heidelberg, Germany.
  • Daum MTJ; Department for General, Visceral and Transplant Surgery, Heidelberg University Hospital, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
  • Kisilenko A; National Center for Tumor Diseases, Heidelberg, Germany.
  • Maier-Hein L; Department for General, Visceral and Transplant Surgery, Heidelberg University Hospital, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
  • Speidel S; National Center for Tumor Diseases, Heidelberg, Germany.
  • Distler M; Department for General, Visceral and Transplant Surgery, Heidelberg University Hospital, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
  • Weitz J; National Center for Tumor Diseases, Heidelberg, Germany.
  • Müller-Stich BP; Division of Intelligent Medical Systems, German Cancer Research Center (Dkfz), Heidelberg, Germany.
  • Bodenstedt S; Department for Translational Surgical Oncology, National Center for Tumor Diseases, Partner Site Dresden, Dresden, Germany.
  • Wagner M; Center for the Tactile Internet With Human in the Loop (CeTI), Technische Universität Dresden, Dresden, Germany.
Surg Endosc ; 37(8): 6153-6162, 2023 08.
Article en En | MEDLINE | ID: mdl-37145173
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Laparoscopía Tipo de estudio: Clinical_trials / Prognostic_studies Límite: Humans Idioma: En Revista: Surg Endosc Asunto de la revista: DIAGNOSTICO POR IMAGEM / GASTROENTEROLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Alemania
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Laparoscopía Tipo de estudio: Clinical_trials / Prognostic_studies Límite: Humans Idioma: En Revista: Surg Endosc Asunto de la revista: DIAGNOSTICO POR IMAGEM / GASTROENTEROLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Alemania