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
ICC | SEM | |
CD index | ||
R#1 vs AI | 0.86 ± 0.38 | 0.015 |
R#2 vs AI | 0.88 ± 0.38 | 0.015 |
BP index | ||
R#1 vs AI | 0.80 ± 0.33 | 0.013 |
R#2 vs AI | 0.79 ± 0.32 | 0.014 |
- 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