Assessment of Automated Identification of Phases in Videos of Total Hip Arthroplasty Using Deep Learning Techniques-Reference-Cited by-同舟云学术

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Assessment of Automated Identification of Phases in Videos of Total Hip Arthroplasty Using Deep Learning Techniques

Published:2024 Issue:2 Volume:16 Page:210
ISSN:2005-291X
Container-title:Clinics in Orthopedic Surgery
language:en
Short-container-title:Clin Orthop Surg

Author:

Kang Yang Jae¹^ORCID,Kim Shin June²^ORCID,Seo Sung Hyo³^ORCID,Lee Sangyeob³^ORCID,Kim Hyeon Su²^ORCID,Yoo Jun-Il⁴^ORCID

Affiliation:

1. Division of Bio and Medical Big Data Department (BK4 Program) and Life Science Department, Gyeongsang National University, Jinju, Korea.

2. Biomedical Research Institute, Inha University Hospital, Incheon, Korea.

3. Biomedical Research Institute, Gyeongsang National University Hospital, Jinju, Korea.

4. Department of Orthopedic Surgery, Inha University Hospital, Inha University College of Medicine, Incheon, Korea.

Funder

National Research Foundation of Korea

Publisher

XMLink

Link

https://ecios.org/pdf/10.4055/cios23280

Reference27 articles.

1. Operative Trends in the Treatment of Hip Fractures and the Role of Arthroplasty

2. Total hip arthroplasty revision in elderly patients

3. Trends in incidence and outcomes of revision total hip arthroplasty in Spain: A population based study

4. The current role of robotics in total hip arthroplasty

5. Assessment of learning curves in complex surgical interventions: a consecutive case-series study

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