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Deep learning for classification of pediatric chest radiographs by WHO’s standardized methodology
BACKGROUND: The World Health Organization (WHO)-defined radiological pneumonia is a preferred endpoint in pneumococcal vaccine efficacy and effectiveness studies in children. Automating the WHO methodology may support more widespread application of this endpoint. METHODS: We trained a deep learning...
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| Veröffentlicht in: | PLoS One |
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| Hauptverfasser: | , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2021
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8216551/ https://ncbi.nlm.nih.gov/pubmed/34153076 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0253239 |
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