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
Table 1 Demographic information among the training and testing groups
| Total (n = 184) | Training group (n = 82) | Validation group (n = 10) | Testing group (n = 92) | |
| Males/Females | 65/119 | 26/56 | 4/6 | 35/57 |
| Left/Right knee | 99/85 | 47/35 | 3/7 | 49/43 |
| Age (yr) | 61.9 ± 17.83 | 64.0 ± 17.62 | 53.7 ± 11.21 | 61.1 ± 18.37 |
- 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