Learning-based autonomous vascular guidewire navigation without human demonstration in the venous system of a porcine liver

PURPOSE: The navigation of endovascular guidewires is a dexterous task where physicians and patients can benefit from automation. Machine learning-based controllers are promising to help master this task. However, human-generated training data are scarce and resource-intensive to generate. We invest...

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Detalles Bibliográficos
Autores principales: Karstensen, Lennart, Ritter, Jacqueline, Hatzl, Johannes, Pätz, Torben, Langejürgen, Jens, Uhl, Christian, Mathis-Ullrich, Franziska
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515141/
https://www.ncbi.nlm.nih.gov/pubmed/35604490
http://dx.doi.org/10.1007/s11548-022-02646-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515141/
https://www.ncbi.nlm.nih.gov/pubmed/35604490
http://dx.doi.org/10.1007/s11548-022-02646-8

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