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Deep learning for classification of pediatric chest radiographs by WHO’s standardized methodology

Research article (PLoS ONE, 2021) · cited 18× · AI/ML
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Deep learning for classification of pediatric chest radiographs by WHO’s standardized methodology

Summary

Deep learning for classification of pediatric chest radiographs by WHO’s standardized methodology is a scholarly article[1].

Key Facts

  • Deep learning for classification of pediatric chest radiographs by WHO’s standardized methodology's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Deep learning for classification of pediatric chest radiographs by WHO’s standardized methodology. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-for-classification-of-pediatric-chest-radiographs-by-whos-standardized-methodology
MLA “Deep learning for classification of pediatric chest radiographs by WHO’s standardized methodology.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-for-classification-of-pediatric-chest-radiographs-by-whos-standardized-methodology.
BibTeX @misc{4ortxyz_deep-learning-for-classification-of-pediatric-chest-radiographs-by-whos-standardized-methodology_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning for classification of pediatric chest radiographs by WHO’s standardized methodology}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-for-classification-of-pediatric-chest-radiographs-by-whos-standardized-methodology}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep learning for classification of pediatric chest radiographs by WHO’s standardized methodology — https://4ort.xyz/entity/deep-learning-for-classification-of-pediatric-chest-radiographs-by-whos-standardized-methodology (retrieved 2026-05-24)

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