Accuracy of two deep learning–based reconstruction methods compared with an adaptive statistical iterative reconstruction method for solid and ground-glass nodule volumetry on low-dose and ultra–low-dose chest computed tomography: A phantom study

• Cherry Kim ,

  Contributed equally to this work with: Cherry Kim, Thomas Kwack

  Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

  Affiliation Department of Radiology, Ansan Hospital, Korea University College of Medicine, Ansan-si, Gyeonggi, South Korea

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• Thomas Kwack ,

  Contributed equally to this work with: Cherry Kim, Thomas Kwack

  Roles Conceptualization, Data curation, Methodology, Software, Visualization

  Affiliation Department of Radiology, Ansan Hospital, Korea University College of Medicine, Ansan-si, Gyeonggi, South Korea

  https://orcid.org/0000-0003-4804-3600

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• Wooil Kim,

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Validation, Visualization

  Affiliation Department of Radiology and Medical Imaging, University of Virginia Health System, Charlottesville, VA, United States of America

  https://orcid.org/0000-0002-9743-7449

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• Jaehyung Cha,

  Roles Conceptualization, Investigation, Methodology, Resources, Validation

  Affiliation Medical Science Research Center, Ansan Hospital, Korea University College of Medicine, Ansan-si, Gyeonggi, South Korea

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• Zepa Yang,

  Roles Data curation, Formal analysis, Investigation, Methodology, Project administration, Visualization

  Affiliation Biomedical Research Center, Guro Hospital, Korea University College of Medicine, Seoul, South Korea

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• Hwan Seok Yong

  Roles Conceptualization, Data curation, Funding acquisition, Methodology, Resources, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: yhwanseok@naver.com

  Affiliation Department of Radiology, Guro Hospital, Korea University College of Medicine, Seoul, South Korea

  https://orcid.org/0000-0003-0247-8932

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