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Adversarial attacks and adversarial robustness in computational pathology.
Ghaffari Laleh, Narmin; Truhn, Daniel; Veldhuizen, Gregory Patrick; Han, Tianyu; van Treeck, Marko; Buelow, Roman D; Langer, Rupert; Dislich, Bastian; Boor, Peter; Schulz, Volkmar; Kather, Jakob Nikolas.
Afiliación
  • Ghaffari Laleh N; Department of Medicine III, University Hospital RWTH Aachen, RWTH Aachen university, Aachen, Germany.
  • Truhn D; Department of Diagnostic and Interventional Radiology, University Hospital Aachen, Aachen, Germany.
  • Veldhuizen GP; Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany.
  • Han T; Department of Physics of Molecular Imaging Systems, Institute for Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany.
  • van Treeck M; Department of Medicine III, University Hospital RWTH Aachen, RWTH Aachen university, Aachen, Germany.
  • Buelow RD; Institute of Pathology, University Hospital RWTH Aachen, Aachen, Germany.
  • Langer R; Institute of Pathology, University of Bern, Bern, Switzerland.
  • Dislich B; Institute of Pathology and Molecular Pathology, Kepler University Hospital, Johannes Kepler University Linz, Linz, Austria.
  • Boor P; Institute of Pathology, University of Bern, Bern, Switzerland.
  • Schulz V; Institute of Pathology, University Hospital RWTH Aachen, Aachen, Germany.
  • Kather JN; Department of Physics of Molecular Imaging Systems, Institute for Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany.
Nat Commun ; 13(1): 5711, 2022 09 29.
Article en En | MEDLINE | ID: mdl-36175413
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Redes Neurales de la Computación Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2022 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Redes Neurales de la Computación Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2022 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Reino Unido