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

The 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 approach for...

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Bibliographic Details

Published in:	Frontiers in oncology Vol. 12; p. 1021084
Main Authors:	Chen, Xiuyuan, Xu, Hao, Qi, Qingyi, Sun, Chao, Jin, Jian, Zhao, Heng, Wang, Xun, Weng, Wenhan, Wang, Shaodong, Sui, Xizhao, Wang, Zhenfan, Dai, Chenyang, Peng, Muyun, Wang, Dawei, Hao, Zenghao, Huang, Yafen, Wang, Xiang, Duan, Liang, Zhu, Yuming, Hong, Nan, Yang, Fan
Format:	Journal Article
Language:	English
Published:	Frontiers Media S.A 13.10.2022
Subjects:	artificial intelligence lung cancer Oncology pulmonary vessel semantic segmentation surgery planning
ISSN:	2234-943X, 2234-943X
Online Access:	Get full text
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