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 1ACDG*DOI: 10.12659/MSM.936733
Med Sci Monit 2022; 28:e936733
Table 2 Dice coefficient results of bone, cartilage, and menisci.
Multicompartment | Training set | Test set |
---|---|---|
FB | 0.968 (0.967,0.969) | 0.964 (0.962–0.966) |
TB | 0.956 (0.955–0.958) | 0.948 (0.944,0.953) |
FC | 0.825 (0.822,0.828) | 0.809 (0.802,0.817) |
LTC | 0.785 (0.781,0.789) | 0.745 (0.733,0.785) |
MTC | 0.773 (0.768,0.778) | 0.746 (0.733,0.758) |
LM | 0.874 (0.871–0.877) | 0.846 (0.836–0.856) |
MM | 0.872 (0.869–0.876) | 0.845 (0.834–0.857) |
Data are presented as mean (95% confidence intervals). FB – femoral bone; FC – femoral cartilage; LM – lateral meniscus; LTC – lateral tibial cartilage; MM – medial meniscus; MTC – medial tibial cartilage; TB – tibial bone. |