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Acta Orthopaedica
Volume 89, 2018 - Issue 4
Open access
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Articles
Automated detection and classification of the proximal humerus fracture by using deep learning algorithm
Seok Won ChungDepartment of Orthopaedic Surgery andView further author information
, Seung Seog HanDepartment of Dermatology, I-dermatology clinic, Seoul; View further author information
, Ji Whan LeeDepartment of Orthopaedic Surgery andView further author information
, Kyung-Soo OhDepartment of Orthopaedic Surgery andView further author information
, Na Ra KimDepartment of Radiology, Konkuk University School of Medicine, Seoul; View further author information
, Jong Pil YoonDepartment of Orthopaedic Surgery, Kyungpook National University College of Medicine, Daegu, Korea; View further author information
, Joon Yub KimDepartment of Orthopaedic Surgery, Myungji Hospital, Goyang; View further author information
, Sung Hoon MoonDepartment of Orthopaedic Surgery, Kangwon National University College of Medicine, Chuncheon, Korea; View further author information
, Jieun KwonDepartment of Othopaedic Surgery, National Police Hospital, Seoul; View further author information
, Hyo-Jin LeeDepartment of Orthopaedic Surgery, Catholic University College of Medicine, Seoul, St Mary’s Hospital, Seoul, Korea; View further author information
, Young-Min NohDepartment of Orthopaedic Surgery, Dong-A University College of Medicine, Pusan; View further author information
& Youngjun KimCenter for Bionics, Korea Institute of Science and Technology, Seoul, KoreaCorrespondence[email protected]
View further author information
show allView further author information
Pages 468-473
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Received 07 Jan 2018, Accepted 21 Feb 2018, Published online: 26 Mar 2018
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Automated detection and classification of the proximal humerus fracture by using deep learning algorithm
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Automated detection and classification of the proximal humerus fracture by using deep learning algorithm
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