Machine Learning-Based Automatic Classification of Knee Osteoarthritis Severity Using Gait Data and Radiographic Images-Reference-Cited by-同舟云学术

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Machine Learning-Based Automatic Classification of Knee Osteoarthritis Severity Using Gait Data and Radiographic Images

Published:2020 Issue: Volume:8 Page:120597-120603
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Kwon Soon Bin,Han Hyuk-Soo,Lee Myung Chul,Kim Hee Chan^ORCID,Ku Yunseo^ORCID,Ro Du Hyun

Funder

National Research Foundation of Korea

Korea government

research fund of the Chungnam National University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09130657.pdf?arnumber=9130657

Cited by 35 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. CDK: A novel high-performance transfer feature technique for early detection of osteoarthritis;Journal of Pathology Informatics;2024-12

2. Integrative approach to pedobarography and pelvis-trunk motion for knee osteoarthritis detection and exploration of non-radiographic rehabilitation monitoring;Frontiers in Bioengineering and Biotechnology;2024-07-31

3. How Can Artificial Intelligence Identify Knee Osteoarthritis from Radiographic Images with Satisfactory Accuracy?: A Literature Review for 2018–2024;Applied Sciences;2024-07-20

4. Estimation of patient-reported outcome measures based on features of knee joint muscle co-activation in advanced knee osteoarthritis;Scientific Reports;2024-05-30

5. Knee Osteoarthritis Detection and Classification using Ensemble Model of Xception and Inception ResNetV2;2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT);2024-05-02

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