Real-time deep learning semantic segmentation during intra-operative surgery for 3D augmented reality assistance

PURPOSE: The current study aimed to propose a Deep Learning (DL) and Augmented Reality (AR) based solution for a in-vivo robot-assisted radical prostatectomy (RARP), to improve the precision of a published work from our group. We implemented a two-steps automatic system to align a 3D virtual ad-hoc...

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Detalles Bibliográficos
Autores principales: Tanzi, Leonardo, Piazzolla, Pietro, Porpiglia, Francesco, Vezzetti, Enrico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8354939/
https://www.ncbi.nlm.nih.gov/pubmed/34165672
http://dx.doi.org/10.1007/s11548-021-02432-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8354939/
https://www.ncbi.nlm.nih.gov/pubmed/34165672
http://dx.doi.org/10.1007/s11548-021-02432-y

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