The application of deep learning methods in knee joint sports injury diseases-Reference-Cited by-同舟云学术

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The application of deep learning methods in knee joint sports injury diseases

Published:2023-09-23 Issue: Volume: Page:1-8
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Luo Yeqiang¹²,Liang Jing³,Lin Shanghui¹²,Bai Tianmo¹²,Kong Lingchuang¹²,Jin Yan¹²,Zhang Xin³,Li Baofeng¹²^ORCID,Chen Bei⁴

Affiliation:

1. The First School of Clinical Medicine, Southern Medical University, Guangzhou, China

2. Department of Orthopedics, General Hospital of Southern Theater Command, Guangzhou, China

3. School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China

4. Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2023.2261554

Reference30 articles.

1. Automated segmentation of knee bone and cartilage combining statistical shape knowledge and convolutional neural networks: Data from the Osteoarthritis Initiative

2. Automatic Deep Learning–assisted Detection and Grading of Abnormalities in Knee MRI Studies

3. Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet

4. Anterior Cruciate Ligament and Medial Collateral Ligament Injuries

5. MR imaging of anterior cruciate ligament injury: independent value of primary and secondary signs.

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