AI-based chest CT semantic segmentation algorithm enables semi-automated lung cancer surgery planning by recognizing anatomical variants of pulmonary vessels

AI-based chest CT semantic segmentation algorithm enables semi-automated lung cancer surgery planning by recognizing anatomical variants of pulmonary vessels

BackgroundThe recognition of anatomical variants is essential in preoperative planning for lung cancer surgery. Although three-dimensional (3-D) reconstruction provided an intuitive demonstration of the anatomical structure, the recognition process remains fully manual. To render a semiautomated app...

Full description

Bibliographic Details
Main Authors: Xiuyuan Chen, Hao Xu, Qingyi Qi, Chao Sun, Jian Jin, Heng Zhao, Xun Wang, Wenhan Weng, Shaodong Wang, Xizhao Sui, Zhenfan Wang, Chenyang Dai, Muyun Peng, Dawei Wang, Zenghao Hao, Yafen Huang, Xiang Wang, Liang Duan, Yuming Zhu, Nan Hong, Fan Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Oncology
Subjects:
pulmonary vessel
artificial intelligence
semantic segmentation
surgery planning
lung cancer
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.1021084/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2022.1021084/full

Similar Items