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 1 Flowchart of the proposed method.
A: Input radiograph; B: Bones detected by the You Only Look Once; C: Detected region of interest, resized to size 512 × 512; D: Segmented bones by the U-Net; E: Landmarks detected on the patella and line fitted to them (cyan), and line fitted to tibial surface (green). YOLO: You Only Look Once; CD: Caton-Deschamps; ROI: Region of interest.
- 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