Deep learning-based respiratory muscle segmentation as a potential imaging biomarker for respiratory function assessment

• Insung Choi ,

  Contributed equally to this work with: Insung Choi, Zepa Yang

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

  Affiliations Department of Integrative Medicine, Major in Digital Healthcare, Yonsei University College of Medicine, Seoul, Republic of Korea, Department of Radiology, Korea University Guro Hospital, Seoul, Republic of Korea

  https://orcid.org/0009-0000-0995-6947

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• Juwhan Choi,

  Roles Data curation, Validation

  Affiliation Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea

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• Hwan Seok Yong,

  Roles Project administration, Validation

  Affiliation Department of Radiology, Korea University Guro Hospital, Seoul, Republic of Korea

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• Zepa Yang

  Contributed equally to this work with: Insung Choi, Zepa Yang

  Roles Conceptualization, Formal analysis, Investigation, Methodology, Resources, Supervision, Writing – review & editing

  * E-mail: yangzepa@korea.ac.kr

  Affiliation Department of Radiology, Korea University Guro Hospital, Seoul, Republic of Korea

  https://orcid.org/0000-0001-8089-7396

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