Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differences

Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differences

Abstract Pulmonary artery-vein segmentation is critical for disease diagnosis and surgical planning. Traditional methods rely on Computed Tomography Pulmonary Angiography (CTPA), which requires contrast agents with potential health risks. Non-contrast CT, a safer and more widely available approach,...

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Main Authors: Yuetan Chu, Gongning Luo, Longxi Zhou, Shaodong Cao, Guolin Ma, Xianglin Meng, Juexiao Zhou, Changchun Yang, Dexuan Xie, Dan Mu, Ricardo Henao, Gianluca Setti, Xigang Xiao, Lianming Wu, Zhaowen Qiu, Xin Gao
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-025-56505-6
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https://doi.org/10.1038/s41467-025-56505-6

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