Copyright
©The Author(s) 2023.
World J Orthop. Jun 18, 2023; 14(6): 387-398
Published online Jun 18, 2023. doi: 10.5312/wjo.v14.i6.387
Published online Jun 18, 2023. doi: 10.5312/wjo.v14.i6.387
Figure 4 Flow diagram of patient selection and attaining the required segmentation score.
A: Training and evaluation of U-Net; B: Final U-Net model; C: Calculation of blackburne-peel and Caton-Deschamps indexes; D: Statistical analysis; E: Final Dice score. CD: Caton-Deschamps; BP: Blackburne-peel; ICC: Interclass correlation coefficient; SEM: Single measurement.
- Citation: Kwolek K, Grzelecki D, Kwolek K, Marczak D, Kowalczewski J, Tyrakowski M. Automated patellar height assessment on high-resolution radiographs with a novel deep learning-based approach. World J Orthop 2023; 14(6): 387-398
- URL: https://www.wjgnet.com/2218-5836/full/v14/i6/387.htm
- DOI: https://dx.doi.org/10.5312/wjo.v14.i6.387