Can deep learning reduce the time and effort required for manual segmentation in 3D reconstruction of MRI in rotator cuff tears?

Hyojune Kim; Keewon Shin; Hoyeon Kim; Eui-sup Lee; Seok Won Chung; Kyoung Hwan Koh; Namkug Kim

doi:10.1371/journal.pone.0274075

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Open Access

Peer-reviewed

Research Article

Can deep learning reduce the time and effort required for manual segmentation in 3D reconstruction of MRI in rotator cuff tears?

Hyojune Kim ,

Contributed equally to this work with: Hyojune Kim, Keewon Shin

Roles Data curation, Investigation, Methodology, Validation, Writing – original draft

Affiliation Department of Orthopedic Surgery, Daejeon Eulji Medical Center, Eulji University School of Medicine, Daejeon, Republic of Korea
⨯
Keewon Shin ,

Contributed equally to this work with: Hyojune Kim, Keewon Shin

Roles Data curation, Formal analysis, Methodology, Validation, Writing – original draft

Affiliation Department of Convergence Medicine, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
⨯
Hoyeon Kim,

Roles Investigation, Resources, Visualization

Affiliation Department of Orthopedic Surgery, Asan Medical Center, College of Medicine, University of Ulsan College of Medicine, Seoul, Republic of Korea
⨯
Eui-sup Lee,

Roles Investigation, Visualization

Affiliation Department of Orthopedic Surgery, Asan Medical Center, College of Medicine, University of Ulsan College of Medicine, Seoul, Republic of Korea
⨯
Seok Won Chung,

Roles Data curation, Visualization

Affiliation Department of Orthopaedic Surgery, Konkuk University School of Medicine, Seoul, Republic of Korea
⨯
Kyoung Hwan Koh ,

Roles Conceptualization, Project administration, Supervision, Writing – review & editing

* E-mail: osdoc.koh@gmail.com (KHK); namkugkim@gmail.com (NK)

Affiliation Department of Orthopedic Surgery, Asan Medical Center, College of Medicine, University of Ulsan College of Medicine, Seoul, Republic of Korea

https://orcid.org/0000-0002-6181-9621

⨯
Namkug Kim

Roles Conceptualization, Supervision, Validation, Writing – review & editing

* E-mail: osdoc.koh@gmail.com (KHK); namkugkim@gmail.com (NK)

Affiliation Department of Convergence Medicine, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

https://orcid.org/0000-0002-3438-2217

⨯

Can deep learning reduce the time and effort required for manual segmentation in 3D reconstruction of MRI in rotator cuff tears?

Hyojune Kim,
Keewon Shin,
Hoyeon Kim,
Eui-sup Lee,
Seok Won Chung,
Kyoung Hwan Koh,
Namkug Kim

Published: October 10, 2022
https://doi.org/10.1371/journal.pone.0274075

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