Deep learning segmentation and registration-driven lung parenchymal volume and movement CT analysis in prone positioning.
<h4>Purpose</h4>To conduct a volumetric and movement analysis of lung parenchyma in prone positioning using deep neural networks (DNNs).<h4>Method</h4>We included patients with suspected interstitial lung abnormalities or disease who underwent full-inspiratory supine and pron...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2024-01-01
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| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0299366&type=printable |