Fully Automatic Knee Joint Segmentation and Quantitative Analysis for Osteoarthritis from Magnetic Resonance (MR) Images Using a Deep Learning Model

Xiongfeng Tang; Deming Guo; Aie Liu; Dijia Wu; Jianhua Liu; Nannan Xu; Yanguo Qin

doi:10.12659/MSM.936733

14 June 2022 : Clinical Research

Fully Automatic Knee Joint Segmentation and Quantitative Analysis for Osteoarthritis from Magnetic Resonance (MR) Images Using a Deep Learning Model

Xiongfeng Tang^1ABCEF, Deming Guo^1BF, Aie Liu^2ACDE, Dijia Wu^2ADE, Jianhua Liu^3BCD, Nannan Xu^3BDF, Yanguo Qin^4ACDG*

DOI: 10.12659/MSM.936733

Med Sci Monit 2022; 28:e936733

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Figure 4 The thickness map and visualization of cartilage between different participants after automatic segmentation. (A) Osteoarthritis patient’s femoral cartilage thickness; (B) osteoarthritis patient’s tibial cartilage thickness; (C) control subject femoral cartilage thickness; (D) control participant’s tibial cartilage thickness. (ParaViewer 5.9).

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Fully Automatic Knee Joint Segmentation and Quantitative Analysis for Osteoarthritis from Magnetic Resonance (MR) Images Using a Deep Learning Model

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