Latent traits of lung tissue patterns in former smokers derived by dual channel deep learning in computed tomography images
Abstract Chronic obstructive pulmonary disease (COPD) is a heterogeneous disease and the traditional variables extracted from computed tomography (CT) images may not be sufficient to describe all the topological features of lung tissues in COPD patients. We employed an unsupervised three-dimensional...
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| Auteurs principaux: | , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Nature Portfolio
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/c5e067c40faa40fa966e6aa8bc55c3f2 |
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