ArticleMedical & biological engineering & computing2024
COPD stage detection: leveraging the auto-metric graph neural network with inspiratory and expiratory chest CT images.
Article in Medical & biological engineering & computing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 12 citations in OpenAlex.
- Comorbidity of chronic obstructive pulmonary disease and pulmonary tuberculosis: a bibliometric analysis (2011-2025) with narrative review.Journal of thoracic disease · 2026Article
- Enhanced preoperative prediction for microvascular invasion in hepatocellular carcinoma through an optimized MR Radiomics combination strategy and machine learning predictor.Frontiers in medicine · 2026Article
- Dual-level weighted cross-entropy loss function and multi-object region segmentation network evaluation for dynamic knee joint X-ray radiography based on a novel scoring criterion.Frontiers in medicine · 2026Article
- Utility of diaphragm dome height as a marker of operational lung volume changes, disease burden and exacerbations in patients with mild-to-moderate COPD: an observational study within the CanCOLD cohort.ERJ open research · 2025Article
- Diagnosis and Severity Assessment of COPD Based on Machine Learning of Chest CT Images.International journal of chronic obstructive pulmonary disease · 2025Article
- Three-stage registration pipeline for dynamic lung field of chest X-ray images based on convolutional neural networks.Frontiers in artificial intelligence · 2025Article
- An optimization method for hemi-diaphragm measurement of dynamic chest X-ray radiography during respiration based on graphics and diaphragm motion consistency criterion.Frontiers in physiology · 2025Article
- Automatic cardiothoracic ratio calculation based on lung fields abstracted from chest X-ray images without heart segmentation.Frontiers in physiology · 2024Article
Corrections and comments
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Authors and funding
13 authors at 5 institutions in 1 country.
Funding
Abstract
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, existing methods based on inspiratory (IN) and expiratory (EX) chest CT images are not sufficiently accurate and efficient in COPD stage detection. The lung region images are autonomously segmented from IN and EX chest CT images to extract the
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.