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

BACKGROUND: 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 a...

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Detalles Bibliográficos
Autores principales: 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
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/PMC9621115/
https://www.ncbi.nlm.nih.gov/pubmed/36324583
http://dx.doi.org/10.3389/fonc.2022.1021084

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9621115/
https://www.ncbi.nlm.nih.gov/pubmed/36324583
http://dx.doi.org/10.3389/fonc.2022.1021084

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