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

• Yiyun Chen ,

  Roles Formal analysis, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: star.chen@merck.com

  Affiliation Merck & Co., Inc., Kenilworth, New Jersey, United States of America

  https://orcid.org/0000-0001-9239-5721

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• Craig S. Roberts,

  Roles Conceptualization, Writing – review & editing

  Affiliation Merck & Co., Inc., Kenilworth, New Jersey, United States of America

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• Wanmei Ou,

  Roles Conceptualization, Writing – review & editing

  Affiliation Merck & Co., Inc., Kenilworth, New Jersey, United States of America

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• Tanaz Petigara,

  Roles Writing – review & editing

  Affiliation Merck & Co., Inc., Kenilworth, New Jersey, United States of America

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• Gregory V. Goldmacher,

  Roles Methodology, Validation

  Affiliation Merck & Co., Inc., Kenilworth, New Jersey, United States of America

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• Nicholas Fancourt,

  Roles Data curation, Supervision

  Affiliation Menzies School of Health Research, Charles Darwin University, Darwin, Australia

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• Maria Deloria Knoll

  Roles Conceptualization, Data curation, Funding acquisition, Investigation, Project administration, Supervision, Writing – review & editing

  Affiliation Department of International Health, International Vaccine Access Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America

  https://orcid.org/0000-0001-9041-2671

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