A deep learning framework for real‐time 3D model registration in robot‐assisted laparoscopic surgery

INTRODUCTION: The current study presents a deep learning framework to determine, in real‐time, position and rotation of a target organ from an endoscopic video. These inferred data are used to overlay the 3D model of patient's organ over its real counterpart. The resulting augmented video flow...

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Detalles Bibliográficos
Autores principales: Padovan, Erica, Marullo, Giorgia, Tanzi, Leonardo, Piazzolla, Pietro, Moos, Sandro, Porpiglia, Francesco, Vezzetti, Enrico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9286374/
https://www.ncbi.nlm.nih.gov/pubmed/35246913
http://dx.doi.org/10.1002/rcs.2387

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9286374/
https://www.ncbi.nlm.nih.gov/pubmed/35246913
http://dx.doi.org/10.1002/rcs.2387

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