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Z Gastroenterol 2019; 57(06): 767-780
DOI: 10.1055/a-0891-4032
Übersicht
© Georg Thieme Verlag KG Stuttgart · New York

Künstliche Intelligenz in der Endoskopie: Neuronale Netze und maschinelles Sehen – Techniken und Perspektiven

Artificial Intelligence in Endoscopy: Deep Neural Nets for Endoscopic Computer Vision – Methods & Perspectives
Rüdiger Schmitz
1  Department for Interdisciplinary Endoscopy, University Hospital Hamburg-Eppendorf
2  Institute of Anatomy and Experimental Morphology, University Hospital Hamburg-Eppendorf
3  DAISYlab, Forschungszentrum Medizintechnik Hamburg, Hamburg, Germany
,
René Werner
3  DAISYlab, Forschungszentrum Medizintechnik Hamburg, Hamburg, Germany
4  Institute of Computational Neuroscience, University Hospital Hamburg-Eppendorf
,
Thomas Rösch
1  Department for Interdisciplinary Endoscopy, University Hospital Hamburg-Eppendorf
› Author Affiliations