Automatic grading of individual knee osteoarthritis features in plain radiographs using deep convolutional neural networks
Author:
Publisher
Elsevier BV
Subject
Orthopedics and Sports Medicine,Biomedical Engineering,Rheumatology
Cited by 12 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. Image segmentation using template matching method for automated classification of knee osteoarthritis grades;Intelligent Computing Techniques in Biomedical Imaging;2025
2. Automated knee osteoarthritis severity classification using three‐stage preprocessing method andVGG16architecture;International Journal of Imaging Systems and Technology;2023-02-02
3. Artificial Intelligence and Deep Learning for Rheumatologists;Arthritis & Rheumatology;2022-10-26
4. Using squeeze-and-excitation blocks to improve an accuracy of automatically grading knee osteoarthritis severity using convolutional neural networks;Computer Optics;2022-04
5. Prediction of knee osteoarthritis progression using radiological descriptors obtained from bone texture analysis and Siamese neural networks: data from OAI and MOST cohorts;Arthritis Research & Therapy;2022-03-08
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