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Jun 18, 2023 (publication date) through Dec 26, 2024
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World Journal of Orthopedics
ISSN
2218-5836
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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Cited by in CrossRef
For: 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 [PMID: 37377994 DOI: 10.5312/wjo.v14.i6.387]
URL: https://www.wjgnet.com/2218-5836/full/v14/i6/387.htm
Number Citing Articles
1
Zeyu Liu, Jiangjiang Wu, Xu Gao, Zhipeng Qin, Run Tian, Chunsheng Wang. Deep learning-based automatic measurement system for patellar height: a multicenter retrospective study. Journal of Orthopaedic Surgery and Research 2024; 19(1) doi: 10.1186/s13018-024-04809-6
2
Lina Dai, Md Gapar Md Johar, Mohammed Hazim Alkawaz. The diagnostic value of MRI segmentation technique for shoulder joint injuries based on deep learning. Scientific Reports 2024; 14(1) doi: 10.1038/s41598-024-80441-y
3
Konrad Kwolek, Artur Gądek, Kamil Kwolek, Radek Kolecki, Henryk Liszka. Automated decision support for Hallux Valgus treatment options using anteroposterior foot radiographs. World Journal of Orthopedics 2023; 14(11): 800-812 doi: 10.5312/wjo.v14.i11.800
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