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Optimizing airway wall segmentation and quantification by reducing the influence of adjacent vessels and intravascular contrast material with a modified integral-based algorithm in quantitative computed tomography
INTRODUCTION: Quantitative analysis of multi-detector computed tomography (MDCT) plays an increasingly important role in assessing airway disease. Depending on the algorithms used, airway dimensions may be over- or underestimated, primarily if contrast material was used. Therefore, we tested a modif...
Tallennettuna:
| Julkaisussa: | PLoS One |
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| Päätekijät: | , , , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Public Library of Science
2020
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7437894/ https://ncbi.nlm.nih.gov/pubmed/32813730 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0237939 |
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