COPD stage detection: leveraging the auto-metric graph neural network with inspiratory and expiratory chest CT images

Chronic obstructive pulmonary disease (COPD) is a common lung disease that can lead to restricted airflow and respiratory problems, causing a significant health, economic, and social burden. Detecting the COPD stage can provide a timely warning for prompt intervention in COPD patients. However, exis...

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Veröffentlicht in:	Medical & biological engineering & computing 2024-06, Vol.62 (6), p.1733-1749
Hauptverfasser:	Deng, Xingguang, Li, Wei, Yang, Yingjian, Wang, Shicong, Zeng, Nanrong, Xu, Jiaxuan, Hassan, Haseeb, Chen, Ziran, Liu, Yang, Miao, Xiaoqiang, Guo, Yingwei, Chen, Rongchang, Kang, Yan
Format:	Artikel
Sprache:	eng
Schlagworte:	Air flow Algorithms Artificial neural networks Biomarkers Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedicine Chest Chronic obstructive pulmonary disease Computed tomography Computer Applications Graph neural networks Human Physiology Imaging Lung diseases Machine learning Medical imaging Neural networks Original Article Radiology Radiomics Respiratory function Workflow
Online-Zugang:	Volltext
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