Effects of Region of Interest Location on Osteoarthritis Detection Using Deep Feature Learning-Reference-Cited by-同舟云学术

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Effects of Region of Interest Location on Osteoarthritis Detection Using Deep Feature Learning

Published:2023-10-16 Issue: Volume: Page:
ISSN:
Container-title:2023 Twelfth International Conference on Image Processing Theory, Tools and Applications (IPTA)
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Author:

Tinhinane Mehdi¹,Yassine Nasser²,Ahmad Almhdie³,Soraya Aloui¹,Rachid Jennane⁴

Affiliation:

1. Abderahmane Mira University,LIMED Laboratory,Bejaia,Algeria

2. University of Orleans,PRISME Laboratory, EA 4229,Orleans,France

3. University of Orleans & Regional Hospital of Orleans,PRIMMO Laboratory,Orleans,France

4. IDP Laboratory University of Orleans,Orleans,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10319882/10319991/10319997.pdf?arnumber=10319997

Reference27 articles.

1. Discriminative Regularized Auto-Encoder for Early Detection of Knee OsteoArthritis: Data from the Osteoarthritis Initiative

2. Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach

3. Subchondral tibial bone texture analysis predicts knee osteoarthritis progression: data from the Osteoarthritis Initiative

4. Prediction of knee osteoarthritis progression using radiological descriptors obtained from bone texture analysis and Siamese neural networks: data from OAI and MOST cohorts

5. Automatic Detection of Knee Joints and Quantification of Knee Osteoarthritis Severity Using Convolutional Neural Networks

Cited by 1 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. CAD Tool for Prediction of Knee Osteoarthritis (KOA);2024 10th International Conference on Communication and Signal Processing (ICCSP);2024-04-12

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