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

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

PurposeNephron-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 trid...

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Bibliographic Details
Main Authors: Shaobo Zhang, Guanyu Yang, Jian Qian, Xiaomei Zhu, Jie Li, Pu Li, Yuting He, Yi Xu, Pengfei Shao, Zengjun Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Oncology
Subjects:
tridimensional kidney perfusion model
automatic segmentation
deep learning technique
convolutional neural network
nephron-sparing surgery
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.997911/full

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https://www.frontiersin.org/articles/10.3389/fonc.2022.997911/full

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