Development of deep learning-assisted overscan decision algorithm in low-dose chest CT: Application to lung cancer screening in Korean National CT accreditation program

• Sihwan Kim,

  Roles Formal analysis, Investigation, Methodology, Software, Visualization, Writing – original draft

  Affiliations Department of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea, ClariPi Research, Seoul, Republic of Korea

  https://orcid.org/0000-0001-9444-0303

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• Woo Kyoung Jeong,

  Roles Resources, Supervision, Validation

  Affiliation Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea

  https://orcid.org/0000-0002-0676-2116

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• Jin Hwa Choi,

  Roles Data curation, Validation

  Affiliation Department of Radiation Oncology, Chung-Ang University College of Medicine, Seoul, Republic of Korea

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• Jong Hyo Kim,

  Roles Conceptualization, Supervision, Writing – review & editing

  Affiliations Department of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea, ClariPi Research, Seoul, Republic of Korea, Center for Medical-IT Convergence Technology Research, Advanced Institutes of Convergence Technology, Suwon, Republic of Korea, Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea, Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea, Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea

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• Minsoo Chun

  Roles Conceptualization, Funding acquisition, Project administration, Resources, Supervision, Writing – review & editing

  * E-mail: ms1236@caumc.or.kr

  Affiliations Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea, Department of Radiation Oncology, Chung-Ang University Gwang Myeong Hospital, Gyeonggi-do, Republic of Korea

  https://orcid.org/0000-0001-8578-9976

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