Article
Light Convolutional Neural Network to Detect Chronic Obstructive Pulmonary Disease (COPDxNet): A Multicenter Model Development and External Validation Study
2025-08-01
Abstract excerpt
<h4>ABSTRACT</h4> <h4>Background</h4> Approximately 70% of adults with chronic obstructive pulmonary disease (COPD) remain undiagnosed. Opportunistic screening using chest computed tomography (CT) scans, commonly acquired in clinical practice, may be used to improve COPD detection through simple, clinically applicable deep-learning models. We developed a lightweight, convolutional neural network (COPDxNet) that...
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Identifiers and source
- Literature Corpus work
- 6b298442-f8ac-5eb9-b288-f220a19bed35
- DOI
- 10.1101/2025.07.30.25332459
