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 |
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
Abstract(266) |
Core Tip(298) |
Full Article(HTML)(1017)
|
Full Article with Cover (PDF)-8386K(29)
|
Full Article (Word)-2410K(14)
|
Audio-1545K(0)
|
Peer-Review Report-180K(29)
|
Answering Reviewers-425K(26)
|
Full Article (PDF)-8150K(91)
|
Full Article (XML)-105K(24)
|
Times Cited (1)
|
Total Visits (2928)
|
Open
|