Demystifying Deep Learning Techniques in Knee Implant Identification
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-56728-5_2
Reference28 articles.
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2. Ditton, E., et al.: Improving patient outcomes following total knee arthroplasty: identifying rehabilitation pathways based on modifiable psychological risk and resilience factors. Front. Psychol. 11, 1061 (2020)
3. Malkani, A.L., et al.: The difficult primary total knee arthroplasty. Instr. Course Lect. 65, 243–265 (2016)
4. Lee, D.W., et al.: Automated detection of surgical implants on plain knee radiographs using a deep learning algorithm. Medicina 58(11), 1677 (2022)
5. Gao, J., Xing, D., Dong, S., Lin, J.: The primary total knee arthroplasty: a global analysis. J. Orthop. Surg. Res. 15, 1–12 (2020)
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