Exploring the Potential of Generative Adversarial Networks for Synthesizing Radiological Images of the Spine to be Used in <i>In Silico</i> Trials.

Galbusera, Fabio; Niemeyer, Frank; Seyfried, Maike; Bassani, Tito; Casaroli, Gloria; Kienle, Annette; Wilke, Hans-Joachim

Exploring the Potential of Generative Adversarial Networks for Synthesizing Radiological Images of the Spine to be Used in In Silico Trials.

Galbusera, Fabio; Niemeyer, Frank; Seyfried, Maike; Bassani, Tito; Casaroli, Gloria; Kienle, Annette; Wilke, Hans-Joachim.

Afiliación

Galbusera F; IRCCS Istituto Ortopedico Galeazzi, Milan, Italy.
Niemeyer F; Center for Trauma Research Ulm, Institute of Orthopedic Research and Biomechanics, Ulm University, Ulm, Germany.
Seyfried M; SpineServ GmbH & Co. KG, Ulm, Germany.
Bassani T; IRCCS Istituto Ortopedico Galeazzi, Milan, Italy.
Casaroli G; IRCCS Istituto Ortopedico Galeazzi, Milan, Italy.
Kienle A; SpineServ GmbH & Co. KG, Ulm, Germany.
Wilke HJ; Center for Trauma Research Ulm, Institute of Orthopedic Research and Biomechanics, Ulm University, Ulm, Germany.

Front Bioeng Biotechnol ; 6: 53, 2018.

Article en En | MEDLINE | ID: mdl-29780802

Palabras clave

generative adversarial networks; generative models; in silico trial; spine imaging; synthetic image; synthetic spine radiology

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Bioeng Biotechnol Año: 2018 Tipo del documento: Article País de afiliación: Italia

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