Longitudinal assessment of interstitial lung abnormalities on CT in patients with COPD using artificial intelligence-based segmentation: a prospective observational study.
- DOI
- 10.1186/s12890-024-03002-z
- Published
- 2024 Apr 23
- Container
- BMC pulmonary medicine
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1186/s12890-024-03002-z,
title = {Longitudinal assessment of interstitial lung abnormalities on CT in patients with COPD using artificial intelligence-based segmentation: a prospective observational study.},
author = {Shiraishi Y and Tanabe N and Sakamoto R and Maetani T and Kaji S and Shima H and Terada S and Terada K and Ikezoe K and Tanizawa K and Oguma T and Handa T and Sato S and Muro S and Hirai T},
year = {2024},
journal = {BMC pulmonary medicine},
doi = {10.1186/s12890-024-03002-z},
url = {https://doi.org/10.1186/s12890-024-03002-z}
}RIS
TY - JOUR TI - Longitudinal assessment of interstitial lung abnormalities on CT in patients with COPD using artificial intelligence-based segmentation: a prospective observational study. AU - Shiraishi Y AU - Tanabe N AU - Sakamoto R AU - Maetani T AU - Kaji S AU - Shima H AU - Terada S AU - Terada K AU - Ikezoe K AU - Tanizawa K AU - Oguma T AU - Handa T AU - Sato S AU - Muro S AU - Hirai T PY - 2024 JO - BMC pulmonary medicine DO - 10.1186/s12890-024-03002-z UR - https://doi.org/10.1186/s12890-024-03002-z ER -
APA
Y, S., N, T., R, S., T, M., S, K., H, S., S, T., K, T., K, I., K, T., T, O., T, H., S, S., S, M., & T, H. (2024). Longitudinal assessment of interstitial lung abnormalities on CT in patients with COPD using artificial intelligence-based segmentation: a prospective observational study.. BMC pulmonary medicine. https://doi.org/10.1186/s12890-024-03002-z
Source records
- pubmed · retrieved 2026-09-27T08:17:00.077Z