A novel 3D deep learning model to automatically demonstrate renal artery segmentation and its validation in nephron-sparing surgery

PURPOSE: Nephron-sparing surgery (NSS) is a mainstream treatment for localized renal tumors. Segmental renal artery clamping (SRAC) is commonly used in NSS. Automatic and precise segmentations of renal artery trees are required to improve the workflow of SRAC in NSS. In this study, we developed a tr...

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Detalles Bibliográficos
Autores principales: Zhang, Shaobo, Yang, Guanyu, Qian, Jian, Zhu, Xiaomei, Li, Jie, Li, Pu, He, Yuting, Xu, Yi, Shao, Pengfei, Wang, Zengjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614169/
https://www.ncbi.nlm.nih.gov/pubmed/36313655
http://dx.doi.org/10.3389/fonc.2022.997911

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614169/
https://www.ncbi.nlm.nih.gov/pubmed/36313655
http://dx.doi.org/10.3389/fonc.2022.997911

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