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. 2022 Oct 13;12:1021084. doi: 10.3389/fonc.2022.1021084

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Copyright © 2022 Chen, Xu, Qi, Sun, Jin, Zhao, Wang, Weng, Wang, Sui, Wang, Dai, Peng, Wang, Hao, Huang, Wang, Duan, Zhu, Hong and Yang

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Performance of the semiautomated surgical planning algorithm. (A) Case-wise overall accuracy and accuracy in arteries and veins; (B) artery accuracy comparison between contrast and non-contrast CT, lobectomy and segmentectomy; (C) artery accuracy comparison between different lobes; (D) vein accuracy comparison between contrast and non-contrast CT, lobectomy, and segmentectomy; (E) vein accuracy comparison between different lobes. NECT, non-enhanced CT; CECT, contrast-enhanced CT; RUL, right-upper lobe; RML, right-middle lobe; RLL, right-lower lobe; LUL, left-upper lobe; LLL, left- lower lobe. *p<0.05; ns non-significant.