A Comprehensive Review on Advances in Detection of Knee Osteoarthritis
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1488-9_24
Reference48 articles.
1. Ntakolia C, Kokkotis C, Moustakidis S, Tsaopoulos D (2021) Prediction of joint space narrowing progression in knee osteoarthritis patients. Diagnostics 11(2):285. https://doi.org/10.3390/diagnostics11020285
2. Ntakolia C, Kokkotis C, Moustakidis S, Tsaopoulos D (2020) A machine learning pipeline for predicting joint space narrowing in knee osteoarthritis patients. In: 2020 IEEE 20th ınternational conference on bioinformatics and bioengineering (BIBE). Oct. 2020. https://doi.org/10.1109/bibe50027.2020.00158
3. Bing-Chen AN, Kai F, You W, Yi-ming Z New variables for measuring joint space width to evaluate knee osteoarthritis. Chin Med J 3886–3890. https://doi.org/10.3760/cma.j
4. Chan WP, Huang G-S, Hsu S-M, Chang Y-C, Ho W-P (2008) Radiographic joint space narrowing in osteoarthritis of the knee: relationship to meniscal tears and duration of pain. Skeletal Radiol 37(10):917–922. https://doi.org/10.1007/s00256-008-0530-8
5. Wirth W et al (2014) Lateral and medial joint space narrowing predict subsequent cartilage loss in the narrowed, but not in the non-narrowed femorotibial compartment—data from the Osteoarthritis Initiative. Osteoarthritis Cartilage 22(1):63–70. https://doi.org/10.1016/j.joca.2013.10.011
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