Automated detection and classification of the proximal humerus fracture by using deep learning algorithm-Reference-Cited by-同舟云学术

Automated detection and classification of the proximal humerus fracture by using deep learning algorithm

Published:2018-03-26 Issue:4 Volume:89 Page:468-473
ISSN:1745-3674
Container-title:Acta Orthopaedica
language:en
Short-container-title:Acta Orthopaedica

Author:

Chung Seok Won¹,Han Seung Seog²,Lee Ji Whan¹,Oh Kyung-Soo¹,Kim Na Ra³,Yoon Jong Pil⁴,Kim Joon Yub⁵,Moon Sung Hoon⁶,Kwon Jieun⁷,Lee Hyo-Jin⁸,Noh Young-Min⁹,Kim Youngjun¹⁰

Affiliation:

1. Department of Orthopaedic Surgery and

2. Department of Dermatology, I-dermatology clinic, Seoul;

3. Department of Radiology, Konkuk University School of Medicine, Seoul;

4. Department of Orthopaedic Surgery, Kyungpook National University College of Medicine, Daegu, Korea;

5. Department of Orthopaedic Surgery, Myungji Hospital, Goyang;

6. Department of Orthopaedic Surgery, Kangwon National University College of Medicine, Chuncheon, Korea;

7. Department of Othopaedic Surgery, National Police Hospital, Seoul;

8. Department of Orthopaedic Surgery, Catholic University College of Medicine, Seoul, St Mary’s Hospital, Seoul, Korea;

9. Department of Orthopaedic Surgery, Dong-A University College of Medicine, Pusan;

10. Center for Bionics, Korea Institute of Science and Technology, Seoul, Korea

Publisher

Medical Journals Sweden AB

Subject

Orthopedics and Sports Medicine,General Medicine,Surgery

Link

https://www.tandfonline.com/doi/pdf/10.1080/17453674.2018.1453714

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