Challenges in Implementing the Local Node Infrastructure for a National Federated Machine Learning Network in Radiology.

Jacobs, Paul-Philipp; Ehrengut, Constantin; Bucher, Andreas Michael; Penzkofer, Tobias; Lukas, Mathias; Kleesiek, Jens; Denecke, Timm

Jacobs, Paul-Philipp; Ehrengut, Constantin; Bucher, Andreas Michael; Penzkofer, Tobias; Lukas, Mathias; Kleesiek, Jens; Denecke, Timm.

Afiliación

Jacobs PP; Department of Diagnostic and Interventional Radiology, University of Leipzig, 04109 Leipzig, Germany.
Ehrengut C; Department of Diagnostic and Interventional Radiology, University of Leipzig, 04109 Leipzig, Germany.
Bucher AM; Department of Diagnostic and Interventional Radiology, Johann-Wolfgang-v.-Goethe-Universität, 60629 Frankfurt, Germany.
Penzkofer T; Department of Radiology, Campus Virchow-Klinikum, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany.
Lukas M; Department of Diagnostic and Interventional Radiology, University of Leipzig, 04109 Leipzig, Germany.
Kleesiek J; Institute for Artificial Intelligence in Medicine, University Hospital Essen (AöR), 45131 Essen, Germany.
Denecke T; Medical Faculty, University of Duisburg-Essen, 45122 Essen, Germany.

Healthcare (Basel) ; 11(17)2023 Aug 23.

Article en En | MEDLINE | ID: mdl-37685411

Palabras clave

RACOON; federated machine learning; infrastructure; medical imaging; network; radiology

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Guideline Idioma: En Revista: Healthcare (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Suiza

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